A somewhat curated list of links to various topics in application security.
| Item | Date Added | Link | Excerpt |
|---|---|---|---|
| 1 | 2025-08-14 04:22:56 UTC | Writing API exploits in Python | The content is about utilizing Python to create exploits for APIs. It suggests using Python programming language to develop exploits for APIs. |
| 2 | 2025-08-14 04:22:53 UTC | Full To Do App in Python Flet & SQLite3 | Python Tutorial | The content is about creating a full To Do app in Python using the Flet library and SQLite3 database. It is a Python tutorial that likely covers how to build a functional To Do application with features like adding tasks, marking tasks as complete, and storing data in an SQLite3 database. The tutorial may provide step-by-step guidance on implementing these functionalities using Python programming language and relevant libraries. |
| 3 | 2025-08-14 04:22:51 UTC | Creating DSL in Python with textx library - Prog.World | The content is about using the textx library in Python to create Domain Specific Languages (DSL). DSLs are specialized languages tailored to specific domains or tasks. The textx library in Python allows developers to define and parse DSLs easily. By leveraging this library, programmers can design custom languages that suit their project requirements efficiently. |
| 4 | 2025-08-14 04:22:49 UTC | Python Requests Cheatsheet | ProxiesAPI | The content is a Python Requests Cheatsheet provided by ProxiesAPI. It likely contains useful information, tips, and examples related to making HTTP requests using the Python Requests library in conjunction with ProxiesAPI services. The cheatsheet may cover topics such as how to use proxies, handle headers, cookies, authentication, and other advanced features within the Python Requests library. It serves as a quick reference guide for developers looking to efficiently utilize the Requests library for web scraping, automation, or other HTTP-related tasks. |
| 5 | 2025-08-14 04:22:47 UTC | Python 3.13 gets a JIT | Python 3.13 introduces a Just-In-Time (JIT) compiler. This feature aims to improve the performance of Python code by compiling it into machine code at runtime for faster execution. The addition of a JIT compiler in Python 3.13 is a significant development that can potentially enhance the speed and efficiency of Python programs. |
| 6 | 2025-08-14 04:22:45 UTC | Python's Magic Methods: Leverage Their Power in Your Classes – Real Python | The content discusses the importance of Python's magic methods in classes and how they can be leveraged to enhance functionality. Magic methods in Python are special methods with double underscores that allow customization of class behavior. By utilizing these magic methods effectively, developers can improve the functionality and flexibility of their classes. The article emphasizes the power and versatility of Python's magic methods in creating more robust and efficient code. |
| 7 | 2025-08-14 04:22:43 UTC | Serialize Your Data With Python | The content is about serializing data using Python. Serialization is the process of converting complex data structures into a format that can be easily stored or transmitted. In Python, serialization is commonly done using libraries like Pickle, JSON, or YAML. Serialization is useful for saving data to files, sending data over networks, or storing data in databases. By serializing data, it can be easily reconstructed or shared across different platforms or systems. |
| 8 | 2025-08-14 04:22:42 UTC | Single and Double Underscores in Python Names – Real Python | The article discusses the use of single and double underscores in Python names. Single underscores are used to indicate a variable or method that is intended for internal use, while double underscores are used for name mangling to avoid naming conflicts in subclasses. The article likely delves into the conventions and best practices surrounding the use of underscores in Python variable and method names. |
| 9 | 2025-08-14 04:22:35 UTC | GitHub OAuth in your Python Flask app | The content briefly mentions integrating GitHub OAuth into a Python Flask app. This likely involves using GitHub's authentication system to allow users to log in to the Flask application using their GitHub credentials. The process may include setting up OAuth authentication, handling user authorization, and accessing GitHub resources securely within the Flask app. The integration of GitHub OAuth can enhance user experience by providing a secure and convenient login method. |
| 10 | 2025-08-14 04:22:33 UTC | GitHub - paulpierre/markdown-crawler: A multithreaded ?️ web crawler that r | The content refers to a GitHub repository named "markdown-crawler" created by a user named paulpierre. It is described as a multithreaded web crawler. The repository likely contains code or a project related to web crawling functionality. |
| 11 | 2025-08-14 04:22:31 UTC | Two kinds of threads pools, and why you need both | The content discusses the importance of having two types of thread pools. It emphasizes the necessity of both types for efficient task management and resource allocation. By utilizing different thread pools, tasks can be appropriately assigned and processed based on their characteristics and requirements. This approach ensures optimal performance and scalability in handling various types of tasks within a system. |
| 12 | 2025-08-14 04:22:29 UTC | Python Decorators That Can Reduce Your Code By Half | The content discusses Python decorators that have the potential to significantly reduce the amount of code you need to write by half. Decorators in Python are functions that modify the behavior of other functions. By using decorators effectively, you can enhance code reusability, readability, and maintainability. This technique allows you to add functionality to existing functions without modifying their code directly. By leveraging decorators, you can streamline your codebase and make it more efficient. |
| 13 | 2025-08-14 04:22:27 UTC | Building a Python compiler and interpreter | mathspp | The content seems to be about building a Python compiler and interpreter. It likely discusses the process of creating these tools for the Python programming language. The article may cover topics such as the importance of compilers and interpreters, the technical aspects of building them, and their role in executing Python code efficiently. It could provide insights into the inner workings of Python and how these tools contribute to its functionality. |
| 14 | 2025-08-14 04:22:26 UTC | How to Use Type Hints for Multiple Return Types in Python – Real Python | The content is about utilizing type hints in Python to specify multiple return types. It likely provides guidance on how to use type hints effectively in Python functions to indicate that a function can return different types of values. The article may offer examples and explanations on how to implement this feature in Python code. |
| 15 | 2025-08-14 04:22:23 UTC | GitHub - Fadi002/de4py: toolkit for python reverse engineering | The content is a GitHub repository named "de4py" created by Fadi002. It is a toolkit designed for Python reverse engineering purposes. The repository likely contains tools, scripts, or resources that can be used for analyzing and understanding Python code in reverse engineering scenarios. It focuses on aiding users in the process of dissecting, understanding, and potentially modifying Python programs for various purposes. |
| 16 | 2025-08-14 04:22:21 UTC | How to store your users' API keys securely in Django ? | The content discusses the importance of securely storing users' API keys in Django. It likely covers best practices and methods for protecting sensitive information, such as encryption, environment variables, or using secure storage solutions. The focus is on maintaining the security of API keys to prevent unauthorized access and potential breaches. |
| 17 | 2025-08-14 04:22:19 UTC | (363) New Features You Need To Know In Python 3.12 - YouTube | The content is a video titled "New Features You Need To Know In Python 3.12" on YouTube. It likely discusses the latest features and updates introduced in Python 3.12. The video may provide insights into the changes, improvements, and additions made to the programming language, offering valuable information for Python developers and enthusiasts. |
| 18 | 2025-08-14 04:22:17 UTC | 5 Ways to Measure Execution Time in Python | The content is about different methods to measure execution time in Python. It likely discusses five specific ways or techniques to track the time taken for code to run in Python. These methods could include using libraries like timeit, datetime, or other built-in functions to accurately measure and optimize the performance of Python code. |
| 19 | 2025-08-14 04:22:15 UTC | Exploring Wordle | The content provided is a title "Exploring Wordle" with no additional information or details. It seems to be a brief mention or introduction to the topic of Wordle without any specific content or details provided. |
| 20 | 2025-08-14 04:22:13 UTC | OOP in Python: Why is object-oriented programming so important? | The content is titled "OOP in Python: Why is object-oriented programming so important?" It likely discusses the significance of object-oriented programming (OOP) in Python, highlighting its importance in organizing code, promoting reusability, and enhancing code readability. OOP allows for the creation of classes and objects, enabling developers to model real-world entities efficiently. By encapsulating data and behavior within objects, OOP facilitates modular and structured programming, making code maintenance and scalability easier. The article likely emphasizes how OOP principles like inheritance, encapsulation, and polymorphism contribute to building robust and maintainable Python applications. |
| 21 | 2025-08-14 04:22:13 UTC | OOP in Python - by Eric Matthes - Mostly Python | The content appears to be about Object-Oriented Programming (OOP) in Python, likely discussed by Eric Matthes. It seems to focus on Python programming concepts related to OOP. |
| 22 | 2025-08-14 04:22:09 UTC | Let’s create a Python Debugger together: Part 1 | Mostly nerdless | The content is about creating a Python Debugger in a collaborative manner. It is the first part of a series called "Mostly nerdless." The focus is on developing a Python Debugger tool, likely aimed at simplifying the debugging process for Python programmers. The content suggests a step-by-step approach to building this tool and may provide insights and instructions for those interested in debugging Python code effectively. |
| 23 | 2025-08-14 04:22:07 UTC | The easy way to concurrency and parallelism with Python stdlib | The content discusses utilizing Python's standard library for achieving concurrency and parallelism efficiently. It likely provides guidance or tips on leveraging Python's built-in features to handle multiple tasks simultaneously and improve performance. The focus is on simplifying the process of implementing concurrency and parallelism in Python programming using the standard library. |
| 24 | 2025-08-14 04:22:05 UTC | Inheritance and Internals: Object-Oriented Programming in Python – Real Pyt | The content appears to focus on the topic of inheritance and internals in object-oriented programming using Python. It likely delves into how inheritance allows classes to inherit attributes and methods from other classes, promoting code reusability and organization. Understanding the internals of Python's object-oriented programming can help developers optimize their code and design more efficient solutions. |
| 25 | 2025-08-14 04:22:03 UTC | Class Concepts: Object-Oriented Programming in Python – Real Python | The content focuses on class concepts in object-oriented programming using Python, as presented by Real Python. It likely covers fundamental concepts such as classes, objects, inheritance, and encapsulation in Python programming. This information is essential for understanding how to create reusable code, organize data, and implement complex systems in Python through object-oriented programming principles. |
| 26 | 2025-08-14 04:22:01 UTC | Writing a C compiler in 500 lines of Python | The content discusses the creation of a C compiler using only 500 lines of Python code. This project involves converting C code into machine code that can be executed by a computer. By utilizing Python, the process is simplified and made more accessible. The project demonstrates the power and flexibility of Python for tasks like compiler development, showcasing how a complex task can be achieved with a relatively small amount of code. |
| 27 | 2025-08-14 04:21:59 UTC | An Intro to Protocol Buffers with Python - Mouse Vs Python | The content is an introductory guide to using Protocol Buffers with Python, presented by Mouse Vs Python. It likely covers the basics of Protocol Buffers, a method for serializing structured data, and how to implement it in Python. The tutorial may include information on how Protocol Buffers can improve data exchange efficiency and provide a more structured approach to data serialization. It aims to introduce readers to the concept and demonstrate its implementation in Python programming. |
| 28 | 2025-08-14 04:21:57 UTC | Hidden Features of Python | The content titled "Hidden Features of Python" does not provide any specific information or details about the hidden features of Python. It merely mentions the topic without elaborating on any specific features. |
| 29 | 2025-08-14 04:21:55 UTC | Python is (mostly) made of syntactic sugar [LWN.net] | The content seems to suggest that Python, as a programming language, is primarily composed of syntactic sugar. This term refers to language features that make the code easier to read or express but do not fundamentally change the underlying functionality. In the context of Python, this implies that the language prioritizes readability and simplicity for developers, making it user-friendly and accessible. The article likely explores how Python achieves this balance between simplicity and functionality through its design choices and syntax. |
| 30 | 2025-08-14 04:21:53 UTC | Create a Python Wordle Clone With Rich – Real Python | The content is about creating a Python Wordle clone using the Rich library as demonstrated on the Real Python website. It likely provides a tutorial or guide on how to build a Wordle game replica in Python using the Rich library. The article may cover topics such as setting up the project, implementing game logic, and creating a user-friendly interface. It aims to help readers understand how to recreate the popular Wordle game in Python with the assistance of the Rich library. |
| 31 | 2025-08-14 04:21:49 UTC | Create a Basic Dashboard with Dash & Plotly in Python | The content is about creating a basic dashboard using Dash and Plotly in Python. Dash is a web application framework while Plotly is a graphing library. By combining these tools, users can create interactive and visually appealing dashboards to display data. The tutorial likely covers how to set up the dashboard, create visualizations using Plotly, and customize the layout using Dash. Overall, the focus is on leveraging these Python libraries to build a simple dashboard for data presentation and analysis. |
| 32 | 2025-08-14 04:21:47 UTC | Click and Python: Build Extensible and Composable CLI Apps – Real Python | The content discusses using Click, a Python package, to create extensible and composable Command Line Interface (CLI) applications. Click simplifies the process of building CLI apps by providing a clean and intuitive interface. This tool allows developers to create powerful and user-friendly command-line programs efficiently. By leveraging Click in Python, developers can enhance the functionality and usability of their CLI applications. |
| 33 | 2025-08-14 04:21:43 UTC | Asyncio, twisted, tornado, gevent walk into a bar... | The content mentions popular asynchronous programming libraries like Asyncio, Twisted, Tornado, and Gevent in a playful manner by saying they walk into a bar. This humorous phrase is often used to introduce a comparison or discussion about these libraries and their capabilities in handling asynchronous tasks in Python programming. |
| 34 | 2025-08-14 04:21:39 UTC | Build a Code Image Generator With Python – Real Python | The content is about creating a code image generator using Python, as presented on the Real Python platform. It likely provides a tutorial or guide on how to use Python to generate images of code snippets. The focus is on coding and programming, specifically using Python for image generation. |
| 35 | 2025-08-14 04:21:35 UTC | How to implement CommandBus in Python | The content is about implementing a CommandBus in Python. It likely discusses the process of setting up a CommandBus architecture in Python, which is a design pattern used to separate the logic for handling different commands in an application. The article may cover the steps, code examples, and best practices for implementing a CommandBus in Python efficiently. |
| 36 | 2025-08-14 04:21:31 UTC | Building a blog in Django | Simon Willison’s TILs | The content is about building a blog using Django, a popular web framework. It is part of Simon Willison's "Today I Learned" (TILs) series, where he shares his knowledge and experiences. The article likely provides insights, tips, and instructions on creating a blog with Django, a Python-based framework known for its simplicity and versatility in web development. Simon Willison's TILs are a valuable resource for learning new skills and techniques in programming and web development. |
| 37 | 2025-08-14 04:21:25 UTC | What Are Python Asterisk and Slash Special Parameters For? – Real Python | The content seems to be a title or heading asking about the purpose of Python's asterisk (*) and slash (/) special parameters. It suggests that the article on Real Python likely delves into explaining the usage and significance of these special parameters in Python programming. The title implies that the article will provide insights into how these special parameters are used in Python code. |
| 38 | 2025-08-14 04:21:21 UTC | Attribute Management using @property in Python: A Basic Guide With Examples | The content discusses attribute management in Python using the @property decorator. It provides a basic guide and examples to demonstrate how @property can be used to manage attributes effectively in Python programming. |
| 39 | 2025-08-14 04:21:17 UTC | Build a REST API with FastAPI and MongoDB | The content is about creating a REST API using FastAPI and MongoDB. FastAPI is a modern web framework for building APIs with Python, known for its speed and ease of use. MongoDB is a popular NoSQL database that can be used to store data for the API. By combining FastAPI and MongoDB, developers can create efficient and scalable APIs for their applications. |
| 40 | 2025-08-14 04:21:15 UTC | (216) Irit Katriel- opening keynote: Error Handling: From Charles Babbage t | The content is about a keynote speech by Irit Katriel on error handling, tracing its evolution from Charles Babbage to modern practices. The speech likely covers the historical development of error handling techniques in computing, highlighting key milestones and advancements in the field. |
| 41 | 2025-08-14 04:21:05 UTC | Python's Self Type: How to Annotate Methods That Return self – Real Python | The content discusses the concept of Python's `self` type and how to annotate methods that return `self`. It likely covers the importance of using proper type annotations in Python code, particularly when dealing with methods that return the instance of the class itself. The article may provide guidance on how to correctly annotate such methods to improve code readability and maintainability. |
| 42 | 2025-08-14 04:21:01 UTC | How to Launch an HTTP Server in One Line of Python Code – Real Python | The content is about launching an HTTP server using just one line of Python code, as explained on the Real Python website. It likely provides a concise and efficient method for setting up an HTTP server using Python. |
| 43 | 2025-08-14 04:20:59 UTC | Real Multithreading is Coming to Python — Learn How You Can Use It Now | The content highlights the upcoming introduction of real multithreading to Python and encourages readers to learn how to utilize it immediately. This advancement in Python will enable developers to implement multithreading more effectively in their programs. It suggests that users should start familiarizing themselves with this feature to leverage its benefits as soon as it becomes available. |
| 44 | 2025-08-14 04:20:57 UTC | How to write a generator expression | The content is a brief title mentioning "How to write a generator expression." It likely provides guidance or instructions on creating generator expressions in programming languages like Python. Generator expressions are a concise way to create iterators in Python, allowing for efficient memory usage and lazy evaluation. The content may cover syntax, usage, and benefits of generator expressions. |
| 45 | 2025-08-14 04:20:55 UTC | https://link.medium.com/BFBogFxzzxb | I'm sorry, but I am unable to access external content such as the Medium link you provided. If you can provide a brief overview or key points from the content, I'd be happy to help summarize it for you. |
| 46 | 2025-08-14 04:20:53 UTC | 4 SSH Alternatives That Are Better Than The Original | by Tate Galbraith | | The content discusses four alternatives to SSH that are considered better than the original. The author, Tate Galbraith, likely explores various secure remote access tools that offer improved features or functionalities compared to SSH. This article may provide insights into alternative solutions for secure communication and remote access needs beyond the traditional SSH protocol. |
| 47 | 2025-08-14 04:20:47 UTC | https://www.codelivly.com/building-a-vulnerability-scanner-using-python/ | The content discusses building a vulnerability scanner using Python. It covers creating a simple scanner to identify vulnerabilities in a target system. The process involves using Python libraries like Requests and BeautifulSoup for web scraping, and implementing logic to detect vulnerabilities based on specific criteria. The tutorial provides step-by-step instructions on setting up the scanner, defining vulnerability checks, and running the scanner against a target website. Overall, the article aims to demonstrate how Python can be used to create a basic vulnerability scanner for security testing purposes. |
| 48 | 2025-08-14 04:20:42 UTC | Python Basics: File System Operations – Real Python | The content is titled "Python Basics: File System Operations" from Real Python. It likely covers fundamental concepts and techniques related to working with files and directories in Python. This may include topics such as reading and writing files, navigating directories, handling file paths, and managing file operations in Python. The article is likely to provide practical guidance and examples to help beginners understand and utilize file system operations in Python effectively. |
| 49 | 2025-08-14 04:20:35 UTC | Tech | Implementing a domain specific language in Python — Digital product | The content discusses the implementation of a domain-specific language (DSL) in Python for a digital product. A DSL is tailored to a specific domain or problem, making it easier to work with in that context. Implementing a DSL in Python can enhance the efficiency and effectiveness of developing digital products by providing a specialized language for expressing solutions within a particular domain. This approach can streamline development processes and improve the overall quality of the digital product being created. |
| 50 | 2025-08-14 04:20:22 UTC | Primer on Python Decorators – Real Python | The content is a primer on Python decorators provided by Real Python. It likely covers the basics of decorators in Python, explaining their purpose and how they can be used to modify or extend the behavior of functions. Decorators are a powerful feature in Python that allow for adding functionality to existing functions without modifying their code. The Real Python primer may include examples, syntax explanations, and practical use cases to help readers understand and implement decorators effectively in their Python code. |
| 51 | 2025-08-14 04:20:20 UTC | Python's Instance, Class, and Static Methods Demystified – Real Python | The content titled "Python's Instance, Class, and Static Methods Demystified" from Real Python explores the concepts of instance, class, and static methods in Python. It likely provides explanations, examples, and use cases for each type of method to help readers understand their differences and how to effectively utilize them in Python programming. |
| 52 | 2025-08-14 04:20:18 UTC | VIM and Python – A Match Made in Heaven | The content highlights the compatibility and synergy between VIM, a popular text editor known for its efficiency and customization, and Python, a versatile programming language. The combination of VIM's powerful features and Python's flexibility is described as being highly complementary and advantageous for developers. This partnership is praised for enhancing productivity and facilitating smooth coding experiences. |
| 53 | 2025-08-14 04:20:08 UTC | Garbage collection in Python: things you need to know | Artem Golubin | The content seems to be about garbage collection in Python and the key points or things to know about it. The author is Artem Golubin. However, the summary lacks specific details or information to provide a concise summary. |
| 54 | 2025-08-14 04:19:58 UTC | ujjwalkarn/DataSciencePython: common data analysis and machine learning tas | The content mentions a repository named "ujjwalkarn/DataSciencePython" that likely contains resources related to common data analysis and machine learning tasks. The repository may offer tools, code examples, or guides for individuals interested in exploring data science and machine learning using Python. It appears to be a valuable resource for those looking to enhance their skills in these areas. |
| 55 | 2025-08-14 04:19:54 UTC | Preface — Explore Flask 1.0 documentation | The content is a preface to the Explore Flask 1.0 documentation. It serves as an introductory section to the documentation, likely providing an overview of the Flask framework and its features. The preface may set the tone for the documentation, explain its purpose, and offer guidance on how to navigate and utilize the information provided in the Explore Flask 1.0 documentation. |
| 56 | 2025-08-14 04:19:50 UTC | Awesome Python | The content provided is simply the title "Awesome Python." It does not contain any additional information or details to summarize. |
| 57 | 2025-08-14 04:19:44 UTC | Primer on Jinja Templating - Real Python | The content is a primer on Jinja templating provided by Real Python. It likely covers the basics of Jinja templating, a popular templating engine for Python web development. Jinja allows developers to create dynamic web content by inserting variables, control structures, and filters into templates. The primer may introduce readers to the syntax and features of Jinja templating, explaining how to use it effectively in Python web applications. |
| 58 | 2025-08-14 04:19:42 UTC | Intro to Flask: Adding a Contact Page | The content is likely an introduction to using Flask, a Python web framework, to create a contact page on a website. Flask is a popular tool for building web applications due to its simplicity and flexibility. Adding a contact page involves creating a route in Flask that displays a form for users to submit their contact information. This tutorial may cover handling form submissions, validating user input, and storing contact information in a database. Flask's lightweight nature and extensive documentation make it a suitable choice for beginners looking to enhance their web development skills. |
| 59 | 2025-08-14 04:19:40 UTC | The Python Indie Bundle | The content provided is a title mentioning "The Python Indie Bundle." |
| 60 | 2025-08-14 04:19:24 UTC | Multiprocessing Pool in Python: The Complete Guide | The content is about multiprocessing pool in Python, providing a comprehensive guide on its usage and implementation. It likely covers topics such as how to create and manage a pool of worker processes for parallel execution of tasks, handling shared resources, and optimizing performance. The guide may include details on utilizing the multiprocessing module in Python to leverage multiple CPU cores efficiently for concurrent processing tasks. Overall, it aims to help users understand and utilize multiprocessing pools effectively in Python programming. |
| 61 | 2025-08-14 04:18:18 UTC | Python: My Favorite Python Tricks for LeetCode Questions | JJinuxLand | The content is about Python tricks for solving LeetCode questions, shared on the JJinuxLand website. It likely discusses useful Python techniques and strategies for tackling coding challenges on the LeetCode platform. The focus is on sharing tips and tricks to help Python programmers effectively solve problems on LeetCode. |
| 62 | 2025-08-14 04:18:04 UTC | DATETIME IN PYTHON. Datetime is a library provided in… | by Linanurullaili | The content discusses the datetime library in Python, highlighting its functionality and importance in handling date and time operations. It emphasizes the utility of the datetime library for managing time-related data in Python programming. |
| 63 | 2025-08-14 04:18:02 UTC | Python best practices.. Writing an aesthetic, readable, and… | by Roman | M | The content seems to discuss Python best practices for writing code that is aesthetic, readable, and follows good programming practices. It likely covers tips and guidelines for writing clean and efficient Python code. The focus is on creating code that is easy to understand, maintain, and share with others. The article may provide insights on how to structure code, use proper naming conventions, and adhere to Python coding standards to enhance readability and maintainability of the codebase. |
| 64 | 2025-08-14 04:17:58 UTC | 7 Pip Commands (Python) That Make Your Life Easier | by Zlliu | Jul, 2022 | | The content titled "7 Pip Commands (Python) That Make Your Life Easier" by Zlliu in July 2022 discusses seven useful Pip commands in Python that can simplify tasks and improve efficiency. The article likely provides insights into how these commands can streamline Python development processes, enhance productivity, and make managing dependencies easier. Readers can expect to learn about specific Pip commands that offer convenience and effectiveness in Python programming. |
| 65 | 2025-08-14 04:17:55 UTC | Python With An Asterisk | Fernando Souza | Vacatronics | The content seems to be about Python programming, possibly with a focus on a specific concept or technique denoted by an asterisk. It mentions Fernando Souza, who might be an expert or contributor in the field. The context suggests a connection to Vacatronics, which could be a company, platform, or event related to Python programming. Overall, the content hints at an exploration of Python programming with a unique or specialized approach denoted by the asterisk. |
| 66 | 2025-08-14 04:17:54 UTC | Python — 10 Common Beginner Mistakes | by Code & Dogs | Python Point | Jul, | The content discusses 10 common mistakes made by beginners in Python programming. It is written by Code & Dogs for Python Point in July. The article likely highlights errors often made by newcomers to Python and provides insights on how to avoid or rectify these mistakes. |
| 67 | 2025-08-14 04:17:51 UTC | Python Requests Library Caused a Production Outage | by Daryan Hanshew | Ju | The Python Requests library caused a production outage, as reported by Daryan Hanshew. The incident likely involved issues or errors related to the use of the Python Requests library, impacting the production environment. Further details or insights about the outage, its causes, and potential solutions are not provided in the summary. |
| 68 | 2025-08-14 04:17:49 UTC | Cleaner Python Code with Partials | by Greg J | Jun, 2022 | Medium | The article discusses how to write cleaner Python code using partial functions. It likely provides insights and examples on how partial functions can simplify code by fixing certain arguments of a function and creating a new function with the fixed arguments. This technique can enhance code readability and maintainability by reducing complexity and repetition. The article may offer practical tips on leveraging partial functions effectively in Python programming. |
| 69 | 2025-08-14 04:17:47 UTC | 7 Things I Never Knew About Python Until Recently | Python in Plain English | The content seems to be a title mentioning "7 Things I Never Knew About Python Until Recently" from a publication called "Python in Plain English." It suggests that the author has discovered new insights about Python and is sharing them with readers. The article likely discusses surprising or lesser-known aspects of Python programming language. |
| 70 | 2025-08-14 04:17:45 UTC | I Made a Python Bot to Send “Good Night” Texts to My GF | by Pythonians | M | The content is about a Python bot created by the author to send "Good Night" texts to their girlfriend. The bot likely automates the process of sending these messages at a specific time each night. The use of Python programming language showcases the author's technical skills and creativity in finding a unique way to connect with their partner. The article may delve into the process of creating the bot and the impact it has had on the relationship. |
| 71 | 2025-08-14 04:17:43 UTC | Python Web Development Framework in 2022 | by RichestSoft | Jul, 2022 | Med | The content seems to be about Python web development frameworks in 2022, authored by RichestSoft in July 2022. It likely discusses the current trends, updates, and recommendations for Python frameworks used in web development this year. The article may provide insights into the best practices, tools, and technologies for building web applications using Python in 2022. |
| 72 | 2025-08-14 04:17:41 UTC | Deep Dive into Lambda Functions in Python | by Bobby K Bose | Jul, 2022 | M | The content seems to focus on a detailed exploration of lambda functions in Python by Bobby K Bose in July 2022. Lambda functions are anonymous functions that can be defined in a single line of code. They are commonly used for small, simple operations and offer a concise way to write functions without the need for a formal definition. This article likely delves into the syntax, applications, and benefits of lambda functions in Python programming. |
| 73 | 2025-08-14 04:17:39 UTC | Memory Management in Python. Memory management is the process of… | by Rupe | The content discusses memory management in Python, highlighting the importance of efficiently handling memory allocation and deallocation. It likely delves into how Python manages memory, the significance of memory management for program performance, and strategies for optimizing memory usage in Python programs. |
| 74 | 2025-08-14 04:17:37 UTC | Python Stacks, Queues, and Priority Queues in Practice – Real Python | The content discusses the practical applications of Python stacks, queues, and priority queues as featured on Real Python. It likely delves into how these data structures are used in real-world scenarios, their implementations in Python, and the benefits they offer in various programming tasks. The article may provide examples, tips, and best practices for utilizing stacks, queues, and priority queues effectively in Python programming. |
| 75 | 2025-08-14 04:17:35 UTC | Python Best Practices. Best practices for writing better code… | by Mohan K | The content discusses Python best practices for writing better code. It is likely an article or guide by Mohan K that provides tips and guidelines to improve coding practices in Python. The focus is on enhancing code quality, efficiency, and readability. The article may cover topics such as coding standards, style conventions, optimization techniques, and common pitfalls to avoid when writing Python code. |
| 76 | 2025-08-14 04:17:33 UTC | https://www.pythonmorsels.com/docstrings/ | The provided link leads to a webpage discussing docstrings in Python. Docstrings are used to document functions, modules, and classes in Python code. They provide information about the purpose and usage of the code for other developers. The article likely covers best practices for writing docstrings, their importance in code readability and maintainability, and how to access docstrings in Python code. It may also provide examples and guidelines for effectively using docstrings to improve code documentation and understanding. |
| 77 | 2025-08-14 04:17:31 UTC | Multiprocessing in Python: The Complete Guide | The content is titled "Multiprocessing in Python: The Complete Guide." It likely provides a comprehensive overview and detailed information on how to utilize multiprocessing in Python for parallel processing tasks. The guide may cover topics such as creating and managing multiple processes, sharing data between processes, and optimizing performance. It aims to help users understand and implement multiprocessing techniques effectively in Python programming. |
| 78 | 2025-08-14 04:17:29 UTC | 5 Killer Python Scripts to Automate Your Problems | Python in Plain English | The content appears to be a list of five Python scripts designed to automate various tasks or solve problems. It likely provides practical examples and explanations of how these scripts can be used to streamline processes or address common challenges. The focus seems to be on practical applications of Python programming for automation purposes. |
| 79 | 2025-08-14 04:17:25 UTC | Python — Best Practices for Writing Functions | by Tony | Jun, 2022 | Dev G | The content seems to be about best practices for writing functions in Python, authored by Tony and published in June 2022 on Dev G. It likely covers guidelines and tips on how to write efficient, readable, and maintainable functions in Python programming. The article may discuss techniques to improve code quality, enhance performance, and adhere to Python coding standards when creating functions. |
| 80 | 2025-08-14 04:17:23 UTC | How Using 'yield' Instead of 'return' Can Make Your Python Code Faster | Py | The content discusses how using 'yield' instead of 'return' in Python code can improve its performance. By utilizing 'yield', functions can generate values one at a time, reducing memory usage and improving efficiency. This approach is particularly beneficial when dealing with large datasets or when processing elements sequentially. Making this simple change can lead to faster execution times and more optimized code in Python programs. |
| 81 | 2025-08-14 04:17:21 UTC | https://github.com/microsoft/picologging | The content provided is a link to the GitHub repository of Microsoft's "picologging" project. The repository contains code and documentation related to the project. It likely includes tools or libraries for logging purposes developed by Microsoft. For more detailed information, users can visit the GitHub link directly to explore the project's contents, features, and usage instructions. |
| 82 | 2025-08-14 04:17:17 UTC | Getting Started Debugging Python Apps in PyCharm | Rookout | The content is about getting started with debugging Python applications in PyCharm using Rookout. It likely covers tips, techniques, or steps to effectively debug Python code within the PyCharm IDE using the Rookout tool. The focus is on helping users efficiently debug their Python applications for better development and troubleshooting processes. |
| 83 | 2025-08-14 04:17:15 UTC | Python mmap: Doing File I/O With Memory Mapping – Real Python | The content is about using Python's mmap module for file I/O with memory mapping. Memory mapping allows files to be accessed as if they were in memory, improving performance by avoiding unnecessary data copying. The article likely discusses how to use mmap in Python for efficient file operations by mapping files directly to memory, enabling faster read and write operations. The Real Python website is a reputable source for Python tutorials and resources, suggesting that the article provides practical guidance and examples on utilizing mmap for file I/O tasks. |
| 84 | 2025-08-14 04:17:13 UTC | How to Build A Dashboard from Scratch in Python using Streamlit | by Pratee | The content is about creating a dashboard from scratch in Python using Streamlit. It likely provides a tutorial or guide on how to build a dashboard using Streamlit, a popular Python library for creating web applications with interactive visualizations. The focus is on the process of building a dashboard using Python and Streamlit, which can be a useful tool for data visualization and analysis. |
| 85 | 2025-08-14 04:17:11 UTC | Avaiga/taipy | The content provided is "Avaiga/taipy." |
| 86 | 2025-08-14 04:17:07 UTC | How and when to use __slots__ in python | by Imperative coder. | Jun, 2022 | The article discusses the usage of the `__slots__` attribute in Python and provides guidance on when and how to use it effectively. It likely covers the benefits of using `__slots__` to optimize memory usage and improve performance by restricting the attributes allowed in a class. The author, Imperative Coder, shares insights on the best practices for utilizing `__slots__` in Python programming. The article was published in June 2022. |
| 87 | 2025-08-14 04:17:05 UTC | How to check the type of something in Python | by Tremaine Eto | Jun, 2022 | The content is about checking the type of an object in Python. It is authored by Tremaine Eto and was published in June 2022. The article likely provides guidance or code examples on how to determine the data type of a variable or object in Python programming. |
| 88 | 2025-08-14 04:16:59 UTC | Automate WhatsApp Messages with Python in 3 Steps | by Ishaan Gupta | CodeX | The content discusses how to automate WhatsApp messages using Python in three steps. The author, Ishaan Gupta, provides a guide on how to achieve this automation process. By following the steps outlined in the article, readers can learn how to use Python to automate sending messages on WhatsApp efficiently. |
| 89 | 2025-08-14 04:16:55 UTC | TryHackMe | Python Basics. In this story I will be sharing my… | by Mukkara | The content appears to be about a story shared by Mukkara on TryHackMe regarding Python basics. The story likely includes insights, experiences, or tutorials related to Python programming fundamentals. Mukkara may be sharing tips, tricks, or lessons learned while exploring Python basics on the TryHackMe platform. The content seems to focus on practical applications or explanations of Python concepts for beginners or those interested in learning more about Python programming. |
| 90 | 2025-08-14 04:16:53 UTC | The single most useful Python Decorator @cache | by Felipe Florencio Garcia | The content is about the Python decorator @cache, which is considered the most useful decorator in Python programming. The author, Felipe Florencio Garcia, likely discusses the benefits and applications of using this decorator in Python code. |
| 91 | 2025-08-14 04:16:27 UTC | Master Python Comprehensions | Towards Data Science | The content seems to be about mastering Python comprehensions, a concise way to create lists, dictionaries, and sets in Python. Comprehensions are a powerful feature in Python that allows for more efficient and readable code by combining loops and conditional statements into a single line. By understanding and utilizing comprehensions effectively, programmers can write cleaner and more expressive code. This article may provide insights and tips on how to make the most of Python comprehensions for data science applications. |
| 92 | 2025-08-14 04:16:21 UTC | Multithreaded HTTP requests in Python | by Leo Ertuna | Towards Dev | The content seems to be about multithreaded HTTP requests in Python, authored by Leo Ertuna and published on Towards Dev. It likely discusses how to make HTTP requests concurrently using multiple threads in Python to improve performance and efficiency. The article may provide insights, tips, or code examples on how to implement multithreading for handling HTTP requests in Python programming. |
| 93 | 2025-08-14 04:16:19 UTC | How to Convert HTML to PDF in Python - Python Code | The content is about converting HTML to PDF using Python code. It provides guidance on how to achieve this task using Python programming. |
| 94 | 2025-08-14 04:16:15 UTC | 6 Python Libraries For Cyber Security Professionals and Ethical Hackers | b | The content mentions 6 Python libraries useful for cyber security professionals and ethical hackers. These libraries likely provide tools and functions that can assist in tasks related to cybersecurity, such as threat detection, vulnerability analysis, or penetration testing. Python is a popular programming language in the cybersecurity field due to its versatility and ease of use for developing security tools and scripts. The libraries mentioned may offer pre-built functionalities that can streamline and enhance the work of professionals in the cybersecurity and ethical hacking domains. |
| 95 | 2025-08-14 04:16:13 UTC | Databases with Python. Lately, I’ve been studying Django, and… | by Felipe | The content discusses the author's recent focus on studying Django, a popular Python web framework known for its database capabilities. The author is likely exploring how to work with databases using Python within the context of Django development. This indicates a practical interest in leveraging Django's features for database management and integration in web applications. |
| 96 | 2025-08-14 04:16:07 UTC | Context Managers — Python 3. Context managers are an incredibly… | by David | The content discusses context managers in Python 3, highlighting their importance and usefulness in managing resources efficiently. It emphasizes the significance of context managers in handling resources like files, locks, and connections, ensuring proper cleanup and resource management. The article likely delves into how context managers simplify resource management by using the "with" statement, making code more readable and maintainable. Overall, the content underscores the benefits and practical applications of context managers in Python programming. |
| 97 | 2025-08-14 04:16:05 UTC | A Python project template. Creating a Python project involves… | by Overfit | The content discusses a Python project template created by Overfit. It outlines the process of creating a Python project, providing a structured approach for developers to follow. The template likely includes guidelines, best practices, and a standardized project structure to streamline the development process. By utilizing this template, developers can save time, ensure consistency, and improve the overall quality of their Python projects. |
| 98 | 2025-08-14 04:16:03 UTC | Callable Protocol in Python. Use objects as functions in Python. | by Sergi | The content discusses the Callable Protocol in Python, which allows objects to be used as functions in Python. It emphasizes the ability to treat objects as callable functions within the Python programming language. |
| 99 | 2025-08-14 04:16:01 UTC | Run Your Python Code as Quickly as C | by Mohit Varikuti | Python in Plai | The content seems to focus on optimizing Python code to run as fast as C code. It suggests techniques or strategies to improve the performance of Python programs to match the speed of C programs. The author, Mohit Varikuti, likely discusses methods to enhance Python code efficiency, potentially through optimizations, libraries, or tools. The article may explore ways to bridge the performance gap between Python and C programming languages. |
| 100 | 2025-08-14 04:15:59 UTC | Heap in Python: Min & Max Heap Implementation (with code) | The content discusses the implementation of Min and Max Heap in Python, focusing on heap data structure. It likely includes explanations and code examples demonstrating how to create and work with heaps in Python. The article may cover concepts such as inserting elements, removing elements, and maintaining the heap property. The code snippets provided are likely to showcase how to implement both Min and Max heaps efficiently in Python. |
| 101 | 2025-08-14 04:15:57 UTC | Best version of python: now can beat all languages | by Harshit Singh | Med | The content discusses Python as the best programming language that can outperform all other languages. It emphasizes Python's superiority and capabilities in comparison to other programming languages. The author, Harshit Singh, highlights Python's strengths and advancements that make it a top choice for developers. The article likely delves into Python's versatility, ease of use, extensive libraries, and growing popularity in various fields. |
| 102 | 2025-08-14 04:15:55 UTC | Introduction To Python's Functools Module - Florian Dahlitz | The content seems to be an introduction to Python's functools module by Florian Dahlitz. The functools module in Python provides higher-order functions and operations on callable objects. It offers tools for creating and working with functions, such as decorators, partial functions, and more. This module can be useful for simplifying code, improving reusability, and enhancing the functionality of functions in Python programs. |
| 103 | 2025-08-14 04:15:53 UTC | Intro to Webhooks and How to Receive them with Python | by Rahul Banerjee | | The content is an introduction to webhooks and how to receive them using Python, written by Rahul Banerjee. It likely covers the basics of webhooks, their importance in web development, and provides guidance on implementing webhook receivers using Python programming language. |
| 104 | 2025-08-14 04:15:49 UTC | https://www.blog.pythonlibrary.org/2021/09/28/python-101-how-to-generate-a-pdf/ | The content discusses how to generate PDF files using Python. It covers the basics of creating PDFs with the ReportLab library, including setting up a virtual environment, installing ReportLab, and creating a simple PDF document. The tutorial provides step-by-step instructions on creating a PDF with text and images, as well as customizing the document with different fonts, colors, and styles. It also includes code snippets and explanations to help beginners understand the process of generating PDFs using Python. |
| 105 | 2025-08-14 04:15:41 UTC | Top Python Tricks That Will Boost Your Skills | by Haider Imtiaz | Python i | The content appears to be a title or heading indicating that it will provide information about top Python tricks that can enhance one's skills. The author is Haider Imtiaz, and the content seems to be related to Python programming. The article likely aims to share valuable tips and techniques to improve Python proficiency. |
| 106 | 2025-08-14 04:15:39 UTC | Use Exceptions To Write Better Python Programs | Python in Plain English | The content seems to emphasize the importance of using exceptions in Python programming to improve code quality and error handling. Exceptions help in managing unexpected situations and errors effectively. By utilizing exceptions, developers can write more robust and reliable Python programs. |
| 107 | 2025-08-14 04:15:37 UTC | Operator Overloading in Python - HedgeDoc | The content seems to be about operator overloading in Python. Operator overloading allows defining custom behavior for operators like + or -. It enables objects to perform operations based on the context in which they are used. This feature in Python allows developers to define how operators should behave when applied to custom objects. By overloading operators, developers can make their code more expressive and intuitive. |
| 108 | 2025-08-14 04:15:35 UTC | Deep Dive Into Flask Guide| TestDriven.io | The content is a guide on Flask provided by TestDriven.io. Flask is a popular Python web framework. The guide likely covers in-depth information, tutorials, and best practices related to Flask development. It may include topics such as routing, templates, database integration, and deployment strategies. The guide is likely designed to help developers gain a comprehensive understanding of Flask and how to build web applications using this framework. |
| 109 | 2025-08-14 04:15:33 UTC | Filters in Django – filter(A, B) vs filter(A).filter(B) – apirobot | The content discusses the difference between using the Django filter method with multiple arguments (filter(A, B)) and chaining filter methods (filter(A).filter(B)). The distinction lies in how the filters are applied to querysets in Django. The first method filters based on both conditions simultaneously, while the second method applies filters sequentially. Understanding this dissimilarity can help developers efficiently query and filter data in Django projects. |
| 110 | 2025-08-14 04:15:13 UTC | Start Using Annotations In Your Python Code - Python Simplified | The content is about encouraging the use of annotations in Python code. Annotations can provide additional information about the types of variables and functions in the code, making it easier to understand and maintain. By incorporating annotations, developers can enhance the readability and clarity of their Python code. |
| 111 | 2025-08-14 04:14:56 UTC | https://link.medium.com/EhYfu7kTbdb | I'm sorry, but I am unable to access external content such as the one you provided. If you can provide me with the main points or key ideas from the content, I would be happy to help you summarize it in 100 words or less. |
| 112 | 2025-08-14 04:14:49 UTC | Python mmap: Improved File I/O With Memory Mapping – Real Python | The content discusses Python's mmap module, which allows for improved file input/output operations using memory mapping. Memory mapping enables files to be directly accessed in memory, enhancing performance by reducing disk access. This technique is beneficial for handling large files efficiently in Python programs. The Real Python website provides detailed information on how to utilize Python's mmap module for enhanced file I/O operations. |
| 113 | 2025-08-14 04:14:45 UTC | GitHub - geophile/marcel: A modern shell | The content is a brief description of a project called "marcel" on GitHub, created by geophile. It is described as a modern shell. The project likely involves the development of a new shell program designed to provide modern features and functionality for users. |
| 114 | 2025-08-14 04:14:43 UTC | https://link.medium.com/sPG0zCauO4 | I'm unable to access external content such as the one you provided. If you can provide a brief overview or key points from the content, I'd be happy to help summarize it for you in 100 words or less. |
| 115 | 2025-08-14 04:14:41 UTC | https://link.medium.com/3Cdm1MMtO4 | I'm sorry, but I am unable to access external content such as the Medium link you provided. If you could provide me with a brief overview or key points from the content, I would be happy to help summarize it for you. |
| 116 | 2025-08-14 04:14:39 UTC | https://link.medium.com/eAfE3J28D4 | I'm sorry, but I am unable to access external content such as the one you provided. If you could provide a brief overview or key points from the content, I would be happy to help summarize it for you. |
| 117 | 2025-08-14 04:14:37 UTC | Introduction to Python SQL Libraries – Real Python | The content is an introduction to Python SQL libraries provided by Real Python. It likely covers the basics of using Python libraries to interact with SQL databases. The article may discuss popular libraries such as SQLAlchemy, psycopg2, or sqlite3, and explain how they can be used to query, insert, update, and delete data in SQL databases using Python code. The content is likely aimed at beginners looking to learn how to work with SQL databases in Python. |
| 118 | 2025-08-14 04:14:35 UTC | https://link.medium.com/1VQEbizHy3 | I'm sorry, but I cannot access external content such as the Medium link provided. If you can provide a brief overview or key points from the content, I'd be happy to help summarize it for you in 100 words or less. |
| 119 | 2025-08-14 04:14:33 UTC | Implementing an Interface in Python – Real Python | The content seems to be about implementing an interface in Python, as indicated by the title. It likely covers how to define and use interfaces in Python programming. The article may provide guidance on creating interfaces using abstract base classes or other methods in Python. It could discuss the importance of interfaces in object-oriented programming and how they help define a contract for classes to adhere to. Overall, the content appears to focus on practical examples and explanations of implementing interfaces in Python programming. |
| 120 | 2025-08-14 04:14:31 UTC | https://link.medium.com/BgZch2ZH11 | I'm sorry, but I can't access external links. If you provide me with the main points or key ideas from the content, I'd be happy to help summarize it for you in 100 words or less. |
| 121 | 2025-08-14 04:14:29 UTC | https://realpython.com/python-descriptors/ | The article discusses Python descriptors, which are objects that define how attributes are accessed and modified. Descriptors are used to customize attribute access, allowing for more control over attribute behavior. The article explains how descriptors work, their benefits, and provides examples of implementing descriptors in Python classes. It covers different types of descriptors such as data descriptors and non-data descriptors, and demonstrates how to use them to create reusable code and enforce data validation. Overall, the article provides a comprehensive guide to understanding and implementing descriptors in Python programming. |
| 122 | 2025-08-14 04:14:27 UTC | Python Lambda Functions Quiz – Real Python | The content is a Python Lambda Functions Quiz from Real Python. It likely contains questions and exercises related to lambda functions in Python. Lambda functions are anonymous functions that can be used for simple tasks without the need to define a full function. The quiz may test the understanding and usage of lambda functions in Python programming. |
| 123 | 2025-08-14 04:14:23 UTC | Thonny: The Beginner-Friendly Python Editor (Overview) – Real Python | The content is an overview of Thonny, a beginner-friendly Python editor, as featured on Real Python. Thonny is highlighted as a tool suitable for those new to Python programming. It is designed to simplify the learning process by providing features such as code completion, syntax highlighting, and a debugger. The article likely delves into the user-friendly interface, debugging capabilities, and other features that make Thonny a popular choice for beginners learning Python programming. |
| 124 | 2025-08-14 04:14:21 UTC | https://www.thepythoncode.com/article/create-reverse-shell-python | The content discusses creating a reverse shell in Python, a technique used for remote access to a computer. It covers how to set up a listener on the attacker's machine and a client on the target machine to establish a connection. The tutorial provides Python code snippets for both the listener and client sides, explaining the process step by step. It emphasizes the importance of understanding the risks associated with reverse shells and using them responsibly for legitimate purposes, such as network administration and security testing. |
| 125 | 2025-08-14 04:14:11 UTC | How to serve HTTP 1, 2, & 3 in Python PGJones | The content discusses how to serve HTTP 1, 2, and 3 in Python, authored by PGJones. It likely provides guidance on implementing HTTP protocols in Python code to handle different versions efficiently. The focus is on enabling Python developers to work with various HTTP versions effectively within their projects. |
| 126 | 2025-08-14 04:14:05 UTC | https://link.medium.com/a9LmmVFpnZ | I'm unable to access external content such as the Medium link provided. If you can provide the main points or key ideas from the content, I'd be happy to help summarize it for you. |
| 127 | 2025-08-14 04:14:03 UTC | https://link.medium.com/w0F9ZqFpnZ | I'm sorry, but I am unable to access external content such as the one you provided. If you could provide me with the main points or key ideas from the content, I would be happy to help summarize it for you in 100 words or less. |
| 128 | 2025-08-14 04:13:33 UTC | https://link.medium.com/u1kNSUnnnZ | I'm unable to access external content such as the Medium link provided. If you can provide a brief overview or key points from the content, I'd be happy to help summarize it for you in 100 words or less. |
| 129 | 2025-08-14 04:12:31 UTC | How to Write Pythonic Loops – Real Python | The content is about writing Pythonic loops and is likely a guide or tutorial from Real Python. It aims to teach readers how to write loops in Python in a more efficient, readable, and idiomatic way. The focus is on using Python's features and syntax to write loops that are concise and follow the Pythonic style. The article may cover topics such as list comprehensions, generator expressions, and other techniques that make code more elegant and expressive. |
| 130 | 2025-08-14 04:12:29 UTC | Create a Flask Application With Google Login – Real Python | The content is about creating a Flask application with Google login functionality, as described on the Real Python website. It likely provides a tutorial or guide on integrating Google login into a Flask web application. The tutorial may cover setting up authentication, handling user login with Google credentials, and securing the application. This content aims to help developers implement Google login in their Flask projects efficiently. |
| 131 | 2025-08-14 04:12:27 UTC | Introduction to Git and GitHub for Python Developers – Real Python | The content is an introduction to Git and GitHub for Python developers provided by Real Python. It likely covers the basics of using Git for version control and GitHub for collaboration in Python projects. This introduction may include information on setting up repositories, tracking changes, branching, merging, and collaborating with others using these tools. It serves as a foundational guide for Python developers looking to leverage Git and GitHub for managing their code effectively. |
| 132 | 2025-08-14 04:12:25 UTC | Your Guide to the CPython Source Code – Real Python | The content titled "Your Guide to the CPython Source Code" by Real Python likely provides a comprehensive overview of the CPython source code. It is a guide intended to help readers understand and navigate the CPython source code effectively. The article may cover key aspects of the CPython implementation, its structure, and how to explore the source code to gain insights into Python's inner workings. Readers can expect to learn valuable information about CPython's architecture and how to delve into the source code for a deeper understanding of Python's implementation. |
| 133 | 2025-08-14 04:12:21 UTC | Python Concurrency & Parallel Programming | The content is about Python concurrency and parallel programming. It likely covers topics related to running multiple tasks simultaneously and optimizing performance by leveraging multiple processing units. Python offers various libraries and tools to implement concurrency and parallelism, allowing developers to improve efficiency and speed of their programs. The focus is on utilizing Python's capabilities for handling concurrent tasks and executing code in parallel to enhance performance. |
| 134 | 2025-08-14 04:12:19 UTC | Pandas DataFrames 101 – Real Python | The content seems to be a beginner-level guide on using Pandas DataFrames from Real Python. It likely covers fundamental concepts and techniques for working with DataFrames in Python using the Pandas library. The guide may include topics such as creating DataFrames, manipulating data, and performing basic operations. For more detailed information, it would be necessary to access the actual content on the Real Python website. |
| 135 | 2025-08-14 04:12:15 UTC | Jupyter Notebook: An Introduction – Real Python | The content is an introduction to Jupyter Notebook provided by Real Python. Jupyter Notebook is a popular tool for interactive computing that allows users to create and share documents containing live code, equations, visualizations, and narrative text. It is widely used in data science, machine learning, and scientific research due to its flexibility and ease of use. The article likely covers the basics of Jupyter Notebook, its features, and how it can be utilized for various programming and data analysis tasks. |
| 136 | 2025-08-14 04:12:13 UTC | Python Concurrency Quiz – Real Python | The content is a Python concurrency quiz provided by Real Python. It likely contains questions related to concurrent programming concepts in Python. The quiz may cover topics such as threading, multiprocessing, asynchronous programming, and parallel processing. It aims to test the reader's understanding of how to write efficient and scalable concurrent programs in Python. |
| 137 | 2025-08-14 04:12:09 UTC | https://github.com/pikepdf/pikepdf | The link provided leads to the GitHub repository for the project named PikePDF. PikePDF is a Python library for reading and writing PDF files. It offers features like extracting text, images, and metadata from PDFs, as well as creating new PDFs and modifying existing ones. The repository contains the source code, documentation, and information on how to contribute to the project. PikePDF aims to provide a user-friendly interface for working with PDF files in Python applications. |
| 138 | 2025-08-14 04:12:07 UTC | Modern Functions in Python 3. Python has thrived over the past few… | by Ba | The article discusses modern functions in Python 3, highlighting Python's growth and relevance in recent years. It likely delves into the advancements and features of Python 3 that contribute to its popularity and effectiveness as a programming language. The content may explore how Python's functions have evolved to meet the demands of modern programming practices, showcasing its versatility and efficiency. Overall, the article likely emphasizes Python 3's capabilities and its ability to adapt to contemporary programming needs. |
| 139 | 2025-08-14 04:11:55 UTC | Python Docker Tutorials – Real Python | The content is a reference to Python Docker tutorials available on the Real Python website. It suggests that there are tutorials related to using Python with Docker containers on the Real Python platform. |
| 140 | 2024-11-05 22:28:05 UTC | Mouse Vs Python | The content is about a learning resource called "Mouse Vs Python" where Mike Driscoll teaches Python programming from beginner to advanced levels. This resource is designed to help individuals improve their Python skills comprehensively. |
| 141 | 2024-11-05 22:27:41 UTC | Planet Python | "Planet Python" is a collection of recent posts from various Python-related blogs. It serves as a centralized platform to stay updated on the latest content and discussions within the Python community. |
| 142 | 2023-12-18 21:49:06 UTC | CPython Object System Internals: Understanding the Role of PyObject | The content discusses the internals of the CPython object system, focusing on the role of PyObject. It likely delves into how CPython manages objects, memory allocation, and reference counting through PyObject. Understanding PyObject is crucial for comprehending how Python objects are handled in memory within the CPython interpreter. The article may provide insights into the inner workings of Python's object-oriented system and shed light on the mechanisms that enable Python to manage objects efficiently. |
| 143 | 2023-12-18 21:49:05 UTC | Python Asyncio and Footguns | The content discusses the potential dangers of using Python's Asyncio module, referred to as "footguns," which are pitfalls that can lead to unintended consequences in asynchronous programming. It emphasizes the importance of understanding Asyncio's complexities to avoid common mistakes that can impact performance and reliability. The article likely provides insights on best practices, common pitfalls, and tips for effectively utilizing Asyncio in Python programming to maximize its benefits while minimizing risks. |
| 144 | 2023-11-26 06:28:20 UTC | Real Multithreading is Coming to PythonLearn How You Can Use It Now | The content discusses the introduction of real multithreading to Python and provides insights on how users can start utilizing it immediately. It highlights the significance of this development for Python programmers and encourages them to explore the new multithreading capabilities. The article likely includes details on the benefits of multithreading, how it differs from previous threading options in Python, and practical examples or steps for implementing multithreading in Python code. Readers are encouraged to embrace this new feature to enhance the performance and efficiency of their Python programs. |
| 145 | 2023-10-07 02:23:52 UTC | Python 3.12: All New Features You Need To Know! | The content discusses the new features in Python 3.12 that viewers need to be aware of. It likely covers updates, enhancements, and changes introduced in the latest version of Python. The information is likely presented in a video format available on YouTube at the provided link. Viewers can expect to learn about the improvements and additions in Python 3.12 that can enhance their programming experience. |
| 146 | 2023-10-07 02:23:49 UTC | How to store your users' API keys securely in Django | The content discusses the importance of securely storing users' API keys in Django. It likely provides guidance on best practices to ensure the protection of sensitive information. This includes encryption methods, secure storage techniques, and potential vulnerabilities to be aware of. The focus is on maintaining the confidentiality and integrity of API keys to prevent unauthorized access and misuse. |
| 147 | 2023-09-22 15:52:00 UTC | OOP in Python: Why is object-oriented programming so important? | Object-oriented programming (OOP) is crucial in Python due to its ability to model real-world concepts efficiently. It promotes code reusability, modularity, and scalability. OOP allows for the creation of classes and objects, enabling better organization and structure in code. Encapsulation, inheritance, and polymorphism are key principles of OOP that enhance code readability and maintainability. By utilizing OOP in Python, developers can build complex applications more effectively, reducing redundancy and improving overall code quality. |
| 148 | 2023-09-22 15:51:59 UTC | OOP in Python | The content briefly mentions Object-Oriented Programming (OOP) in Python. It seems to be a link to an external source for more detailed information on this topic. OOP is a programming paradigm that uses objects to structure code, allowing for better organization and reusability. Python supports OOP principles such as encapsulation, inheritance, and polymorphism. The link likely provides insights into how OOP concepts can be implemented in Python, making code more modular and easier to maintain. |
| 149 | 2023-09-02 16:40:03 UTC | Containerized PDF Summarizer with FastAPI and Hamilton | The content discusses creating a containerized PDF summarizer using FastAPI and Hamilton. It likely provides a guide or tutorial on how to build a tool that can summarize PDF documents using FastAPI framework and Hamilton, a tool for text summarization. This project aims to leverage containerization for easy deployment and scalability. The content may offer insights into integrating these technologies to develop a PDF summarization tool efficiently. |
| 150 | 2023-09-02 16:35:38 UTC | Introducing Immortal Objects for Python | The content introduces Immortal Objects for Python, a concept that allows objects to persist in memory indefinitely. This feature can be useful for scenarios where objects need to be preserved beyond their typical lifespan. Immortal Objects in Python can help developers manage memory more efficiently and ensure that specific objects remain accessible throughout the program's execution. |
| 151 | 2023-09-02 16:35:37 UTC | .XYZ TLD Domain Names | The content is about .XYZ top-level domain (TLD) domain names. It appears to be a link to more information about .XYZ TLD domain names, but without further details provided in the content itself. This suggests that the content likely discusses the features, benefits, or availability of .XYZ TLD domain names. It may also cover how these domain names can be used and their relevance in the online world. For more specific information, the provided link can be followed to access the full content. |
| 152 | 2023-09-02 16:35:35 UTC | Introducing Python in Excel: The Best of Both Worlds for Data Analysis and Visualization | The content discusses the integration of Python into Excel, combining the strengths of both for data analysis and visualization. This integration offers users the ability to leverage Python's powerful data processing capabilities within Excel's familiar interface. By merging these tools, users can benefit from Python's extensive libraries and Excel's user-friendly features for enhanced data analysis and visualization. This integration provides a comprehensive solution for users seeking efficient data processing and visualization within the Excel environment. |
| 153 | 2023-09-02 16:35:33 UTC | Using the NumPy Random Number Generator | The content discusses the utilization of the NumPy Random Number Generator. NumPy is a Python library that provides support for large, multi-dimensional arrays and matrices. The Random Number Generator in NumPy allows for the generation of random numbers for various applications. By importing the NumPy library and utilizing its random module, users can generate random numbers following different distributions. This functionality is useful in various scientific and mathematical applications where random numbers are required for simulations, modeling, and statistical analysis. |
| 154 | 2023-09-02 16:35:31 UTC | Solving a simple puzzle using SymPy | The content discusses solving a simple puzzle using SymPy, a Python library for symbolic mathematics. SymPy can be used to solve mathematical problems symbolically, including puzzles. By utilizing SymPy's functions and capabilities, users can input equations or expressions and receive solutions in symbolic form. This allows for the manipulation and analysis of mathematical problems without the need for numerical values. The content likely provides a step-by-step guide or example demonstrating how to use SymPy to solve a specific puzzle or mathematical challenge efficiently. |
| 155 | 2023-09-02 16:35:30 UTC | Process Images Using the Pillow Library and Python | The content discusses utilizing the Pillow library in Python for image processing. It focuses on how to manipulate images using this library, offering guidance on tasks like resizing, cropping, rotating, and applying filters to images. The Pillow library provides a user-friendly interface for working with images and is a popular choice for image processing tasks in Python programming. |
| 156 | 2023-09-02 16:35:28 UTC | Python: Just write SQL | The content discusses the ease of using Python to write SQL queries. It highlights the simplicity and convenience of using Python for SQL tasks, emphasizing the direct approach of writing SQL within Python code. This integration allows for seamless interaction between Python and SQL, making it easier for developers to work with databases. The content suggests that Python's flexibility and readability make it a powerful tool for handling SQL operations efficiently. |
| 157 | 2023-09-02 16:35:27 UTC | How CPython Implements Reference Counting: Dissecting CPython Internals | The content discusses how CPython, the reference implementation of Python, utilizes reference counting as a memory management technique. It delves into the internal workings of CPython to explain how reference counting is implemented. The article likely provides insights into the mechanisms behind reference counting in CPython, shedding light on its efficiency and limitations in managing memory in Python programs. |
| 158 | 2023-09-02 16:35:26 UTC | trafilatura: Web scraping tool for text discovery and retrieval | "trafilatura" is a web scraping tool designed for text discovery and retrieval. It allows users to extract text content from websites efficiently. This tool can be useful for various purposes such as data analysis, content curation, and research. By utilizing trafilatura, users can easily collect textual information from web pages for further processing or analysis. |
| 159 | 2023-09-02 16:35:25 UTC | Distributive-Network/PythonMonkey | The content appears to be a reference to a project or tool called Distributive-Network/PythonMonkey. Unfortunately, without further context or details provided in the content, it is unclear what the project or tool specifically entails or offers. The link provided seems to be a URL, possibly leading to more information about Distributive-Network/PythonMonkey. |
| 160 | 2023-09-02 16:29:49 UTC | python quirks | The content seems to discuss Python quirks, which are unique features or behaviors in the Python programming language that may surprise or confuse users. These quirks can include unexpected outcomes due to the language's design choices or syntax rules. Understanding these quirks can help developers write more efficient and error-free Python code. |
| 161 | 2023-09-02 16:29:47 UTC | Running Untrusted Python Code | The content discusses the risks and precautions associated with running untrusted Python code. It emphasizes the potential security threats and advises caution when executing code from unknown or untrusted sources. The article likely provides guidance on best practices to mitigate risks when dealing with untrusted Python code, such as using virtual environments, sandboxing techniques, and code analysis tools. It highlights the importance of being vigilant and implementing safeguards to protect systems from malicious code. |
| 162 | 2023-09-02 16:29:46 UTC | Bridging the Python async gap from the other side | The content discusses bridging the gap in Python's asynchronous programming from a different perspective. It likely explores ways to enhance or optimize asynchronous programming techniques in Python. The focus may be on addressing challenges or limitations in existing async methods, offering new insights or solutions to improve efficiency or performance. The content aims to provide a fresh approach to handling asynchronous operations in Python programming. |
| 163 | 2023-08-13 21:54:12 UTC | Swing in Python Burp Extensions - Part 1 | The content discusses using Swing in Python for developing Burp extensions. It is part 1 of a series and provides insights into integrating Swing, a GUI toolkit, with Python to create user interfaces for Burp Suite extensions. The article likely covers the basics of Swing, its benefits for creating interactive interfaces, and how it can be utilized within the context of Burp Suite extension development. |
| 164 | 2023-08-13 14:12:59 UTC | Attribute Management using @property in Python: A Basic Guide With Examples | The content discusses attribute management in Python using the @property decorator, providing a basic guide with examples. The @property decorator allows defining properties in classes to control access, setting, and deletion of attributes. This feature helps in managing data attributes effectively by enabling the use of getter, setter, and deleter methods. The guide likely covers how to use @property to create computed properties, validate input, and ensure data integrity within Python classes. |
| 165 | 2023-02-20 05:08:32 UTC | 4 SSH Alternatives That Are Better Than The Original | The content discusses four alternatives to SSH that are considered better than the original. These alternatives offer improved security, performance, and additional features compared to SSH. Users seeking enhanced functionality and security may find these alternatives beneficial. |
| 166 | 2023-02-20 05:08:28 UTC | So many interesting fun and powerful Python libraries | The content discusses the availability of numerous interesting, fun, and powerful Python libraries. These libraries offer a wide range of functionalities and capabilities for Python developers to utilize in their projects. The link provided likely leads to a collection or list of such libraries for users to explore and incorporate into their coding endeavors. |
| 167 | 2023-02-20 03:28:14 UTC | Profiling and Multiprocessing in Python | The content discusses the concepts of profiling and multiprocessing in Python. Profiling involves analyzing the performance of code to identify bottlenecks and optimize efficiency. Multiprocessing refers to the ability of Python to execute multiple processes concurrently to improve performance on multi-core systems. These techniques are essential for optimizing code execution and leveraging the full potential of modern hardware. |
| 168 | 2023-01-31 05:37:04 UTC | Build an Arp Spoofer From Scratch | The content discusses creating an ARP spoofer from scratch. ARP spoofing involves manipulating network traffic by sending false ARP messages. By building an ARP spoofer, one can intercept and modify data packets within a network. This technique is commonly used for malicious purposes like eavesdropping or conducting Man-in-the-Middle attacks. The content likely provides a guide or instructions on how to create an ARP spoofer independently. |
| 169 | 2023-01-31 05:37:04 UTC | Creating an Advanced Network Packet Sniffer in Python: A Step-by-Step Guide | The content is a step-by-step guide on creating an advanced network packet sniffer using Python. It provides detailed instructions on how to build the sniffer tool, which can capture and analyze network packets for various purposes. The guide likely covers topics such as setting up the necessary libraries, capturing packets, analyzing packet data, and potentially implementing additional features for advanced functionality. Overall, the content aims to help readers understand the process of creating a network packet sniffer using Python through a structured and informative guide. |
| 170 | 2022-12-17 15:36:12 UTC | Context Managers and Python's with Statement | The content discusses context managers and Python's 'with' statement. Context managers help manage resources by defining setup and teardown actions. The 'with' statement simplifies resource management by automatically calling the context manager's methods. It ensures resources are properly handled even if exceptions occur. The 'with' statement provides a cleaner and more readable way to work with resources in Python. |
| 171 | 2022-10-19 21:48:54 UTC | Python Simple HTTP Server With SSL Certificate (Encrypted Traffic) | The content discusses setting up a Python Simple HTTP Server with an SSL certificate to enable encrypted traffic. This configuration enhances security by encrypting data transmitted over the network. The SSL certificate ensures secure communication between the server and clients, protecting sensitive information from potential eavesdropping or tampering. By implementing SSL encryption, the Python Simple HTTP Server can provide a more secure environment for data exchange. |
| 172 | 2022-10-14 02:38:40 UTC | 10 Python Scripts for Automating your Daily Problems | The content discusses 10 Python scripts designed to automate daily tasks and problem-solving. These scripts aim to streamline processes and increase efficiency by leveraging Python's capabilities. By automating repetitive tasks, users can save time and effort in their daily routines. The scripts offer solutions to common problems faced by individuals, demonstrating the versatility and practicality of Python programming in simplifying everyday tasks. |
| 173 | 2022-10-14 02:28:36 UTC | 13 Advanced Python Scripts For Everyday Programming | The content discusses 13 advanced Python scripts useful for everyday programming tasks. The scripts are designed to enhance programming efficiency and productivity. These scripts likely cover a range of functionalities and tasks commonly encountered in programming projects. |
| 174 | 2022-10-14 02:28:30 UTC | 5 Python Features That Has Made Me Less Miserable | The content discusses five Python features that have improved the author's programming experience and reduced their frustration. These features have positively impacted the author's workflow and made coding tasks more manageable. The article highlights specific aspects of Python that have enhanced the author's productivity and overall satisfaction with the language. |
| 175 | 2022-10-14 02:23:12 UTC | Getting started with Rocksdb and Python | The content discusses how to begin using RocksDB with Python. RocksDB is a high-performance key-value store developed by Facebook. The article likely covers installation steps, basic usage, and integration of RocksDB in Python applications. It aims to guide users on setting up and utilizing RocksDB efficiently within Python projects. |
| 176 | 2022-09-18 02:53:22 UTC | Python Cybersecurity | The content titled "Python Cybersecurity" likely discusses the intersection of Python programming language and cybersecurity. Python is commonly used in cybersecurity for tasks like scripting, automation, and developing security tools. It is a versatile language known for its simplicity and readability, making it a popular choice among cybersecurity professionals. By leveraging Python's libraries and frameworks, cybersecurity experts can efficiently analyze data, detect vulnerabilities, and enhance security measures. The link provided likely leads to more detailed information on how Python is utilized in the field of cybersecurity. |
| 177 | 2022-09-13 16:53:11 UTC | OWASP Pygoat | OWASP Pygoat is a project that aims to provide a vulnerable web application for security testing and educational purposes. It offers a platform for users to practice and improve their skills in identifying and fixing security vulnerabilities in Python-based web applications. By using Pygoat, individuals can enhance their understanding of common security issues and learn how to secure web applications effectively. The project is part of the Open Web Application Security Project (OWASP) and serves as a valuable resource for developers, security professionals, and anyone interested in cybersecurity. |
| 178 | 2022-09-13 16:45:07 UTC | OWASP Pygoat | OWASP Foundation | The OWASP Pygoat project is described in a very concise manner, with the content stating it as "A very brief, one-line description of your project." This suggests that the project aims to provide a succinct overview or summary of a particular topic or project within the OWASP Foundation. |
| 179 | 2022-08-24 02:48:43 UTC | Understanding async Python for the web | The content discusses the importance of understanding asynchronous programming in Python for web development. Async Python allows for concurrent execution of tasks, improving performance by handling multiple operations simultaneously. It is particularly useful for web applications that require handling multiple requests efficiently. By utilizing async features like async/await and asyncio library, developers can write non-blocking code that maximizes resource utilization. Understanding async Python is crucial for building responsive and scalable web applications. |
| 180 | 2022-08-24 02:44:54 UTC | Understanding async Python for the web | The content is focused on understanding asynchronous programming in Python for web development. Async Python allows for non-blocking operations, improving efficiency by enabling the program to continue executing other tasks while waiting for certain operations to complete. This is particularly useful for web applications where multiple requests need to be handled simultaneously. Async Python can enhance performance and responsiveness by leveraging asynchronous features to manage I/O-bound tasks efficiently. Mastering async Python can lead to more scalable and responsive web applications. |
| 181 | 2022-08-22 03:12:56 UTC | 4 Ways To Annoy Your Colleagues With Your Python Code | by Liu Zuo Lin | To | The content provides four ways to irritate colleagues with Python code by writing it in a confusing or inefficient manner. The goal is to highlight practices that can frustrate software engineer colleagues and cause confusion or headaches. |
| 182 | 2022-08-22 03:11:34 UTC | This Is Why You Should Use Tortoise-ORM in Your Python Projects | by Eldad | The article emphasizes the benefits of using Tortoise-ORM in Python projects for efficient database management. It highlights the advantages of Tortoise-ORM in simplifying database operations and improving productivity. The key message is to utilize Tortoise-ORM to handle databases effectively in Python projects. |
| 183 | 2022-08-22 03:09:37 UTC | 6 More Things I Didn't Know About Python Until Recently | Python in Plain E | The content discusses six new things the author recently learned about Python, despite having used it for years. The focus is on surprising or lesser-known aspects of Python that the author discovered. |
| 184 | 2022-08-21 13:02:35 UTC | 7 Useful Python Libraries You Should Use in Your Next Project | Enhance your Python projects with these 7 libraries: 1. pytype for static code analysis, 2. bqplot for interactive data visualization, 3. py-spy for profiling Python programs, 4. jsonschema for validating JSON data, 5. blaze for big data processing, 6. pudb for debugging, and 7. kornia for computer vision tasks. These libraries offer various functionalities like code analysis, data visualization, debugging, and more, making them valuable tools for improving Python development efficiency and capabilities in your next project. |
| 185 | 2022-08-21 13:00:36 UTC | Python 3 Cheat Sheet | The content is about a Python 3 cheat sheet that aims to help individuals enhance their Python skills. It suggests providing tips, tricks, and information to improve proficiency in Python programming. |
| 186 | 2022-08-21 12:59:21 UTC | Hidden powers of pydantic | Explore hidden powers and key features of Pydantic beyond the basics. |
| 187 | 2022-08-21 12:58:36 UTC | Python Web Development Framework in 2022 | The content discusses the speediest programming language in the world as of 2022 without explicitly mentioning the language. It hints at the relevance of Python in web development frameworks for the current year. |
| 188 | 2022-08-21 12:57:24 UTC | I Made A Python Cheat Sheet for Data Structures and Algorithms (Useful for Leetcode) | The content is a Python cheat sheet focusing on data structures and algorithms, particularly useful for solving problems on platforms like Leetcode. It likely includes key syntax, methods, and concepts related to data structures and algorithms in Python. This cheat sheet can serve as a quick reference guide for programmers looking to efficiently implement these concepts in their code. |
| 189 | 2022-08-21 12:57:02 UTC | Python Trick : functools.singledispatch | The content discusses the Python function `functools.singledispatch`, which simplifies code by allowing different functions to be executed based on the type of input. This feature eliminates the need for multiple if-else statements, making the code more concise and readable. By using `functools.singledispatch`, developers can create cleaner and more maintainable code that handles different input types efficiently. |
| 190 | 2022-08-21 12:56:08 UTC | Advanced Python: Classes, Objects, and MRO | The content delves into advanced Python concepts, focusing on classes, objects, and Method Resolution Order (MRO) in Python 3. It aims to provide a deeper understanding of how these elements function within the language. By exploring the inner workings of classes and objects, learners can enhance their comprehension of object-oriented programming in Python. Understanding MRO helps in grasping how Python resolves method calls in complex class hierarchies. This content is designed to offer insights into these advanced topics to help individuals improve their Python programming skills. |
| 191 | 2022-08-17 02:08:05 UTC | Best Code Editors and IDE For Python Developers | by Venkat | MLearning.ai | The content discusses the importance of choosing the right code editor or Integrated Development Environment (IDE) for Python developers. It highlights that the choice of programming language and tools significantly impacts a developer's experience. The article likely provides recommendations for the best code editors and IDEs for Python developers to enhance their coding efficiency and productivity. |
| 192 | 2022-08-17 02:07:55 UTC | Variables & Memory Addresss Confusion | Ryan the Data Guy | Ryan the Data Guy learned some minor details about variables but ended up feeling confused about memory addresses, having more questions than answers on the topic. |
| 193 | 2022-08-17 02:05:36 UTC | ? Python generators. When to use? | by Dmytro Parfeniuk | Jul, 2022 | Mediu | Python generators are a powerful tool for optimizing code. They are useful for creating iterators and can improve performance by generating values on the fly instead of storing them in memory. Generators are beneficial when dealing with large datasets or when memory efficiency is crucial. By using generators, you can enhance the efficiency of your code and make it more readable and maintainable. |
| 194 | 2022-08-17 01:56:44 UTC | 10 Killer Automation Scripts For Your Daily Stuff | by Haider Imtiaz | Aug, | The content provides a list of ten Python scripts designed to automate daily tasks and streamline work processes. These scripts aim to simplify common problems and routines by leveraging automation. By utilizing these scripts, individuals can save time and effort on repetitive tasks, enhancing productivity and efficiency in their daily activities. |
| 195 | 2022-08-17 01:53:48 UTC | Fake webcam for your online meetings, with Python | by Francois Le Roux | C | The content discusses using Python to create a fake webcam for online meetings when you prefer not to show your real webcam feed. It highlights the scenario of wanting privacy during virtual meetings. The article likely delves into the technical aspects of how to achieve this using Python programming. |
| 196 | 2022-08-15 03:19:45 UTC | How to Create Callable Object in Python | Level Up Coding | The content discusses creating callable objects in Python OOP. It explains how to make class objects callable, enhancing their functionality. |
| 197 | 2022-08-15 03:19:37 UTC | Python features that I was unaware even existed | by Rishav Nath Pati | Jul | The content discusses a Python feature related to using separators for integers. It highlights a lesser-known feature where underscores can be used as separators within large integer values for better readability and organization in Python programming. This feature allows developers to improve code readability by visually separating digits in large numbers, making the code more understandable and maintainable. |
| 198 | 2022-08-15 03:19:16 UTC | These tools boost my development productivity while using my Mac, maybe it | The content emphasizes the importance of using the right tools to enhance productivity while working on a Mac. By utilizing efficient tools, time can be saved, leading to increased productivity and better outcomes. The focus is on the benefits of selecting appropriate tools to streamline development processes and achieve optimal results. |
| 199 | 2022-08-15 03:19:02 UTC | I finally found the best note taking app after trying multiple apps within | After extensive searching and trying various apps, the author has discovered the ideal note-taking application for their needs. |
| 200 | 2022-08-15 03:18:43 UTC | Sharing code using a setup.py | Better Programming | The content provides a beginner's guide on sharing code in a Python project using a setup.py file. It explains the importance of sharing code efficiently and demonstrates how to structure and use a setup.py file to distribute code. The setup.py file helps manage dependencies, package distribution, and installation processes. By following the steps outlined in the content, developers can streamline code sharing within their Python projects. |
| 201 | 2022-08-15 03:18:33 UTC | A Guide to Python Libraries For Pentesters, Ethical Hackers and System Admi | Python is essential for cybersecurity professionals like penetration testers. It is a versatile tool for various tasks due to its wide range of libraries. These libraries are crucial for tasks such as data manipulation, network scanning, and exploit development. Python's flexibility and extensive library support make it a preferred choice for ethical hackers, system administrators, and cybersecurity experts. |
| 202 | 2022-08-15 03:18:23 UTC | yield from — Python (Part IV). This article is looking at how we can… | by | The article explores two-way communication in Python using caller, sub-generator, yield from, yield, and send. It delves into the functionality and implementation of these features for establishing effective communication pathways within Python programs. |
| 203 | 2022-08-15 00:53:21 UTC | 10 Python Scripts to Automate Your Daily Stuff | by Haider Imtiaz | Aug, 20 | The content discusses a collection of 10 Python scripts created by Haider Imtiaz on August 20. These scripts are designed to automate daily tasks and save time for users. By utilizing these scripts, individuals can streamline their workflows and make their routines more efficient. The focus is on the practicality and usefulness of these scripts in simplifying various tasks through automation. |
| 204 | 2022-08-15 00:53:11 UTC | Knowing These Python Techniques Helped me in 2022 | by Varun Singh | Medium | The content discusses essential Python techniques crucial for Python developers in 2022. The author emphasizes the importance of knowing these techniques to stay competitive. The article likely covers specific Python skills or tools that can benefit developers in the current year. |
| 205 | 2022-08-15 00:51:41 UTC | 4 smart ways to write Python program | by Betaspyder | Jul, 2022 | Medium | The content provides tips on writing Python programs efficiently. Tip 1 is highlighted, suggesting smart ways to improve Python programming skills. The article likely includes additional tips and strategies for writing effective Python code. |
| 206 | 2022-08-15 00:51:26 UTC | 7 Useful Python Libraries You Should Use in Your Next Project | by Farhan T | The content discusses seven essential Python libraries recommended for enhancing Python development in projects. The focus is on empowering developers with tools that can streamline coding processes, improve efficiency, and enhance project outcomes. The libraries highlighted are likely to offer valuable functionalities and features that can benefit developers in various aspects of their projects. The emphasis is on leveraging these libraries to optimize Python development and achieve better results in coding endeavors. |
| 207 | 2022-08-15 00:51:00 UTC | Top IDE’s for Python in 2022. Learn the use cases of each python IDE | by R | The content discusses the top IDEs for Python in 2022 and emphasizes understanding the specific use cases of each Python IDE. It aims to provide insights into the functionalities and features of different IDEs to help users choose the most suitable one based on their needs and preferences. The focus is on highlighting the diverse applications and advantages of various Python IDEs to assist users in making informed decisions when selecting an IDE for their Python programming projects. |
| 208 | 2022-08-11 22:22:01 UTC | Functional Programming in Python. Functional programming is a programming… | Functional programming is a paradigm where computation relies on function evaluation. In Python, functional programming involves using functions as the main building blocks, emphasizing immutability and avoiding side effects. Key concepts include higher-order functions, lambda functions, and list comprehensions. Functional programming promotes code that is concise, readable, and easier to test and debug. |
| 209 | 2022-08-11 22:21:47 UTC | The Impossible Web Scraping. Scraping a dynamic website with… | by Nyv Mond | The content discusses the challenges of scraping dynamic websites using Python libraries like Selenium and BeautifulSoup. These tools help navigate and extract data from websites that require interaction or have changing content. Selenium is used for automating web browsers to interact with dynamic elements, while BeautifulSoup parses the extracted HTML content. By combining these tools, users can scrape data from websites that are difficult to access with traditional scraping methods. |
| 210 | 2022-08-10 01:21:03 UTC | 4 Python Questions Not Many Can Solve In One Line Of Code | by Zlliu | Jul, | The content discusses four challenging Python questions that are hard to solve using just one line of code. |
| 211 | 2022-08-10 01:20:45 UTC | How to Protect Text Input from XML External Entity (XXE) Attacks using Pyth | The content discusses the importance of protecting text input from XML External Entity (XXE) attacks using Python. XXE attacks aim to disrupt an application's handling of serialized data. Implementing countermeasures in Python can help prevent these attacks and safeguard the application from potential vulnerabilities. |
| 212 | 2022-08-10 01:09:01 UTC | Improve Python Class Performance with “__slots__" | by Sunil Kumar | FAUN P | The article discusses improving Python class performance by using the "__slots__" attribute. By defining __slots__ in a class, memory usage can be optimized by avoiding the creation of a __dict__ dictionary for each object. This can lead to faster attribute access and reduced memory overhead, especially when dealing with a large number of instances. By restricting the attributes that can be assigned to an object, __slots__ can enhance performance by eliminating the need for a dynamic dictionary. |
| 213 | 2022-08-10 01:07:33 UTC | Whip up a stunning Dashboard with Python & Streamlit! | by Robin Ellingsen | The content discusses creating a visually appealing dashboard using Python and Streamlit without the need for complex CSS styling. It emphasizes the ease and efficiency of using these tools to quickly develop an impressive dashboard that captivates viewers. The focus is on simplifying the process of dashboard creation and making it accessible to those who may not have extensive coding or design experience. |
| 214 | 2022-08-10 01:07:17 UTC | 7 Useful Python Libraries You Should Use in Your Next Project | by Farhan T | The content discusses seven useful Python libraries recommended for enhancing Python development in upcoming projects. It emphasizes the importance of leveraging these libraries to improve efficiency and functionality in Python projects. The article aims to provide developers with valuable tools and resources to optimize their coding experience and achieve better results in their projects. |
| 215 | 2022-08-10 01:02:37 UTC | Four Tricks In Python You Don’t Know | by Mohammad Jamal Al Jadallah | Jul, | The content discusses four lesser-known Python tricks to improve code quality. It emphasizes the importance of striving for excellence in coding practices. The tricks aim to enhance code efficiency and readability. The article suggests that mastering these tricks can help developers write better code. |
| 216 | 2022-08-10 01:02:06 UTC | 10 Python Scripts For Automating Your Everyday Problems | by Haider Imtiaz | The content provides a compilation of 10 Python scripts designed to automate everyday issues. It aims to offer practical solutions through automation. |
| 217 | 2022-08-10 01:01:18 UTC | Python : __init__ Vs __new__ !!. In python classes you might have seen… | b | In Python classes, there are two special methods: __new__ and __init__. __new__ functions as a constructor while __init__ initializes the object. The __new__ method is responsible for creating a new instance of a class, while __init__ initializes the attributes of the object. These methods serve different purposes in the object creation process in Python classes. |
| 218 | 2022-08-10 00:59:50 UTC | Python: Advanced Syntax of Class. This time we will focus on the class… | b | The content discusses advanced syntax of classes in Python, specifically focusing on class methods and their various uses. |
| 219 | 2022-08-10 00:58:11 UTC | An introduction to asyncio in python | by Dinesh Kumar K B | Geek Culture | | The content is a brief introduction to asyncio in Python by Dinesh Kumar K B on Geek Culture. It simply greets the reader with "Hello asyncio world!" and serves as a starting point for exploring asynchronous programming with asyncio in Python. |
| 220 | 2022-07-31 16:05:32 UTC | Python mmap: Doing File I/O With Memory Mapping – Real Python | The video course teaches using Python's mmap module for faster file I/O by leveraging memory mapping. It covers types of memory, explaining how mmap enhances file operations' speed. |
| 221 | 2022-07-23 11:12:25 UTC | Python 101 - How to Generate a PDF - Mouse Vs Python | The content discusses generating PDF files using Python and ReportLab. It covers topics such as Canvas methods, PLATYPUS, Paragraphs, and Tables. By following the tutorial, readers can gain insights into creating PDFs programmatically using Python. |
| 222 | 2022-07-21 13:17:23 UTC | Awesome Python | The content is a curated list of excellent Python frameworks, libraries, and software. It likely includes a collection of valuable resources for Python developers to enhance their projects and workflows. This list can serve as a valuable reference for those seeking high-quality tools and solutions within the Python ecosystem. |
| 223 | 2022-07-21 13:12:37 UTC | PyBites Platform | Hone Your Python Skills | The PyBites platform offers practical Python coding exercises for rapid learning. It helps users enhance existing skills, prepare for new job opportunities, and grasp new Python concepts. Additionally, it provides access to a supportive Python community for collaboration and networking. |
| 224 | 2022-07-19 04:14:45 UTC | Your Guide to the CPython Source Code – Real Python | This Python tutorial delves into the CPython source code, offering a step-by-step exploration of the CPython compiler's functioning and the execution process of Python code. By following this guide, readers can gain insights into the inner workings of CPython. |
| 225 | 2022-07-18 21:36:48 UTC | Python Stacks, Queues, and Priority Queues in Practice – Real Python | This tutorial explores the theory and practice of queues in programming, covering different types of queues and their implementation in Python. It delves into Python's standard library for higher-level queues. The tutorial emphasizes hands-on coding to reinforce learning. |
| 226 | 2022-06-28 01:22:08 UTC | Getting Started Debugging Python Apps in PyCharm | Rookout | This tutorial focuses on debugging Python applications in PyCharm, a popular IDE. It aims to help users quickly start debugging their Python apps by providing an example. The content emphasizes the importance of efficiently debugging code in a user-friendly environment like PyCharm to enhance the development process. |
| 227 | 2022-06-27 03:54:27 UTC | Docstrings in Python | Docstrings in Python are preferred over comments for documenting code. They should be the first statement in functions, classes, or modules. Python's help function utilizes docstrings to provide information about the code. |
| 228 | 2022-06-27 03:44:45 UTC | Multiprocessing in Python: The Complete Guide | The multiprocessing.Process class in Python enables the creation and management of child processes. Despite being available since Python 2, multiprocessing is not extensively utilized. This feature allows for parallel execution of tasks, improving performance by utilizing multiple CPU cores. Multiprocessing can be beneficial for tasks that can be divided into independent subtasks. It provides a way to overcome the limitations of the Global Interpreter Lock (GIL) in Python, enabling better utilization of system resources. Overall, understanding and implementing multiprocessing in Python can enhance the efficiency of programs by leveraging multiple processing units simultaneously. |
| 229 | 2022-06-27 01:38:28 UTC | Start Using Annotations In Your Python Code - Python Simplified | The article explains function and type annotations in Python with practical examples and applications. It provides a clear understanding of how annotations can be used in Python code. |
| 230 | 2022-06-23 03:37:08 UTC | 20 Python Code Snippets For Everyday Programming Problems | The content provides 20 Python code snippets to help improve everyday programming skills. |
| 231 | 2022-06-23 03:36:49 UTC | Decorators in Python | The content provides a detailed guide on Python decorators, explaining their purpose and how to implement them step by step. Decorators are a powerful feature in Python that allow functions to be modified or extended without changing their original code. The guide likely covers topics such as defining decorators, applying them to functions, and understanding their usage in Python programming. |
| 232 | 2022-06-23 03:36:29 UTC | My First Impression Trying Python on Browser | The content discusses the author's first impression of trying Python on a browser, highlighting the belief that this development could make Python a universal programming language. The convenience of accessing Python directly through a browser is emphasized, suggesting that this advancement could potentially increase the accessibility and popularity of Python as a programming language. |
| 233 | 2022-06-23 03:35:32 UTC | File Handling in Python | The content discusses file handling in Python, highlighting the basics covered so far, such as variables, data types, functions, and conditionals. It serves as a refresher on Python fundamentals. |
| 234 | 2022-03-29 00:05:35 UTC | Setup a Ready-For-Production Python Project | by Alessandro Artoni | Geek C | The content discusses the importance of enhancing the quality of Python projects to prepare them for production. It emphasizes the significance of ensuring that projects are well-prepared and optimized for deployment. The focus is on improving the overall quality of Python projects to meet production standards effectively. |
| 235 | 2022-03-27 23:29:49 UTC | Python Useful Regex Quick Reference | The content highlights the importance of regular expressions (regex) in Python for text processing. It emphasizes that regex is a crucial tool for manipulating and searching text efficiently in Python programming. |
| 236 | 2022-03-27 23:28:48 UTC | An Intro To HTTPX | The httpx package is a Python library that provides an alternative to the requests library for making HTTP requests. It offers features like HTTP/2 support, async and await syntax, and better performance. HTTPX aims to be a more modern and efficient tool for handling HTTP requests in Python applications. |
| 237 | 2022-03-27 23:28:08 UTC | 5 More Python One-liners You Should Use | The content emphasizes using concise Python one-liners to efficiently solve problems, save time, and improve speed in programming tasks. It suggests implementing these one-liners to enhance productivity and streamline coding processes. |
| 238 | 2022-03-27 23:27:45 UTC | Built-in Python functions map( ), filter( ) & reduce( ) , you should literally learn right now. | The content emphasizes the importance of learning built-in Python functions like map(), filter(), and reduce(). It highlights that understanding these functions is crucial to harnessing the full power of the language. Mastering these functions can significantly enhance one's ability to manipulate data efficiently in Python. |
| 239 | 2022-03-27 23:22:36 UTC | Python Cybersecurity — Build a Port Scanner | The content discusses creating a Python script for a port scanner to detect open ports on a network. It provides a tutorial on the implementation process. |
| 240 | 2022-03-27 23:21:23 UTC | Logging in Python | The article discusses logging in Python, aiming to cover the basics and demonstrate creating a project that logs events into a file for later use. |
| 241 | 2022-03-27 23:20:35 UTC | 10 Advanced Automation Scripts for Your Python Projects | The content discusses the use of Python for automating tasks in projects. It highlights the importance of automation for handling both interesting and mundane tasks efficiently. The focus is on utilizing Python scripts to automate various processes in projects, making work easier and more streamlined. |
| 242 | 2022-03-27 23:20:21 UTC | Hacking and Securing Python Applications | The content discusses 27 vulnerabilities commonly found in Python applications, including risks like arbitrary file writes, directory traversal, and deserialization. It emphasizes the importance of being vigilant about these vulnerabilities to secure Python applications effectively. |
| 243 | 2022-03-27 23:20:13 UTC | Python — Sending Push Notifications To Your Phone | The tutorial discusses sending push notifications to your phone using Python and myNotifier. |
| 244 | 2022-03-27 23:19:22 UTC | 5 Python Libraries That Will Help Automate Your Life | The content discusses five Python libraries that can automate tasks such as sending emails, extracting data from PDFs, and performing data analysis. These libraries offer resources for quick learning and implementation to streamline daily tasks and improve efficiency. |
| 245 | 2022-03-27 23:17:31 UTC | Automate your Life using Python | The content suggests using Python to automate tasks and simplify daily routines. By leveraging Python's capabilities, individuals can streamline processes and save time. The focus is on utilizing tools and resources to enhance efficiency and productivity in various aspects of life. |
| 246 | 2022-03-27 23:17:19 UTC | Malware extraction in Python with Scapy | Learn how to extract malware files from network captures using Python and Scapy in under 200 lines of code. This tutorial demonstrates a concise method for extracting malicious files from network traffic, showcasing the power and efficiency of Python programming for cybersecurity tasks. By leveraging Scapy, a powerful packet manipulation tool, users can quickly and effectively identify and extract malware files for further analysis or mitigation. This streamlined approach highlights the effectiveness of Python and Scapy for cybersecurity professionals in handling malicious content within network traffic. |
| 247 | 2022-03-23 02:43:00 UTC | Async IO in Python: A Complete Walkthrough – Real Python | The tutorial provides a comprehensive overview of Python's async IO, a concurrent programming concept that has gained significant support in Python versions 3.4 to 3.7. It aims to help readers understand Python's approach to async IO and its evolution, offering a thorough walkthrough of the topic. |
| 248 | 2022-03-23 02:42:52 UTC | Context Managers and Python's with Statement – Real Python | The content discusses Python's with statement and context managers. It explains the purpose of the with statement and provides a tutorial on using it with existing context managers and creating custom context managers. The tutorial is a step-by-step guide that helps readers understand the concept and implementation of context managers in Python. |
| 249 | 2021-09-07 01:56:29 UTC | How to Quickly Convert a String into a List in Python | by Fatos Morina | A | The content discusses a quick method to convert a string into a list in Python by splitting sentences into words efficiently. This process allows for easy manipulation and analysis of text data. |
| 250 | 2021-09-07 01:55:29 UTC | 3 Awesome Python Libraries That You Should Know About | by Ismael Araujo | | The article discusses three Python libraries worth exploring, emphasizing the importance of trying them out. The content likely provides insights into the functionalities and benefits of these libraries, encouraging readers to incorporate them into their projects. It aims to introduce readers to new tools that can enhance their Python programming experience. |
| 251 | 2021-09-01 22:23:13 UTC | 7 Python Libraries to Make Automation Easy | The content discusses seven Python libraries that can simplify automation tasks. It highlights the challenge of finding inspiration for automation and suggests that exploring different packages can spark ideas. The focus is on making automation easier by utilizing specific Python libraries. |
| 252 | 2021-06-03 02:14:32 UTC | Brython: Python in Your Browser – Real Python | The tutorial introduces Brython, a tool enabling Python code execution in web browsers. While JavaScript is common for front-end web development, Brython allows Python usage, facilitating access to JavaScript resources and deployment of Python applications on the web. |
| 253 | 2021-05-12 04:39:41 UTC | CPython Internals: Paperback Now Available – Real Python | The Python 3 interpreter guide, "CPython Internals," is now released as a paperback book. It offers insights into the inner workings of Python and is available at a limited-time launch price. |
| 254 | 2021-05-11 20:02:41 UTC | 100 Helpful Python Tips You Can Learn Before Finishing Your Morning Coffee | The content discusses 100 Python tips that can be learned quickly, covering various applications like data science, machine learning, web development, scripting, and automation. It aims to provide a comprehensive guide for Python learners to enhance their skills efficiently. |
| 255 | 2021-05-11 20:02:00 UTC | 100 Helpful Python Tips You Can Learn Before Finishing Your Morning Coffee | The content is a title indicating that there are 100 helpful Python tips that can be learned quickly, before finishing your morning coffee. The title suggests that the tips are concise and easy to grasp, making them suitable for a quick learning session. |
| 256 | 2021-05-05 19:26:35 UTC | Python 201: An Intro to importlib - Mouse Vs Python | Python's importlib package is part of the standard library, offering the implementation for Python's import mechanism. It allows developers to programmatically import modules, packages, and other resources. The importlib package is a powerful tool for dynamically loading code at runtime and extending Python's capabilities. |
| 257 | 2021-05-05 18:39:46 UTC | An Intro to Threading in Python – Real Python | The content introduces threading in Python at an intermediate level. It covers creating threads, coordinating and synchronizing them, and addressing common threading issues. The tutorial aims to help users understand how to utilize threading in Python programs effectively. |
| 258 | 2021-04-23 02:26:52 UTC | Python Introduction, What is Python , What can you do with Python | jobtens | The content titled "Python Introduction, What is Python, What can you do with Python" likely provides an overview of Python programming language. It may cover the basics of Python, its features, and its applications. The content is likely aimed at introducing readers to Python, explaining its uses, and highlighting its versatility in various fields such as web development, data analysis, automation, and more. |
| 259 | 2021-01-24 05:43:10 UTC | The Best VS Code Extensions for Python Developers for 2021 | The content discusses the best Visual Studio Code (VS Code) extensions for Python developers in 2021 to enhance productivity. It likely covers various extensions that can aid Python developers in writing, debugging, and managing their code efficiently within the VS Code environment. The focus is on providing tools and resources that can streamline the development process and improve the overall coding experience for Python programmers using VS Code. |
| 260 | 2021-01-24 05:36:30 UTC | Turn Photos into Cartoons Using Python | The content discusses using Python to apply machine learning algorithms to turn photos into cartoons, creating a cartoon effect. |
| 261 | 2021-01-24 05:34:33 UTC | 21 Python Mini Projects With Code | The content emphasizes that the best approach to learning a programming language, such as Python, is by engaging in practical projects. It suggests that hands-on experience with coding projects is an effective way to grasp the language's concepts and syntax. By working on mini projects, learners can apply their knowledge, enhance their skills, and gain a deeper understanding of Python programming. The content implies that project-based learning is a valuable method for mastering Python and encourages readers to explore and tackle various mini projects to solidify their programming abilities. |
| 262 | 2021-01-24 05:34:15 UTC | https://link.medium.com/O67mPOCDidb | I'm sorry, but I am unable to access external content such as the one you provided. If you can provide me with the main points or key ideas from the content, I would be happy to help you summarize it in 100 words or less. |
| 263 | 2021-01-24 05:33:51 UTC | NumPy Illustrated: The Visual Guide to Numpy | "NumPy Illustrated: The Visual Guide to NumPy" is a resource that helps individuals either refresh their knowledge of NumPy or start learning it from the beginning. The content is designed to be visually engaging and informative, making it easier for readers to grasp the concepts of NumPy. Whether you are a beginner or looking to enhance your skills in NumPy, this guide aims to provide a clear and concise understanding of the subject. |
| 264 | 2021-01-22 22:23:52 UTC | Welcome to Pyramid, a Python Web Framework | Pyramid is a lightweight Python web framework designed to scale small web apps into larger ones. It offers an accessible starting point for those interested in using Pyramid for web development. |
| 265 | 2021-01-20 04:11:26 UTC | 10 Surprisingly Useful Base Python Functions | The content introduces a list of 10 useful base Python functions to enhance one's understanding of the standard library modules. It aims to help readers improve their Python skills by highlighting functions that may be unexpectedly helpful. The focus is on expanding knowledge of fundamental Python functions to increase proficiency in programming. |
| 266 | 2021-01-20 04:09:04 UTC | 5 Python Tricks You Should Start Using in 2021 | The content highlights five Python tricks to adopt in 2021 to stay current with Python's evolution. It emphasizes the importance of keeping up with the advancements in Python to avoid being left behind in the rapidly changing programming landscape. |
| 267 | 2021-01-20 03:55:16 UTC | https://link.medium.com/Jgp0u5VSbdb | I'm unable to access external content such as the Medium link provided. If you can provide a brief overview or key points from the content, I'd be happy to help summarize it for you in 100 words or less. |
| 268 | 2021-01-20 03:36:37 UTC | Accessing the Dark Web with Python | The content discusses using Python to access the Dark Web by creating new Tor identities. This process allows users to browse the Dark Web confidently and safely. By utilizing Python, individuals can enhance their privacy and security while exploring the hidden corners of the internet. |
| 269 | 2020-04-11 00:44:23 UTC | rakanalh/pocket-api: A python wrapper around GetPocket API V3. | The content describes a Python wrapper for the GetPocket API V3, available on GitHub under the repository named "rakanalh/pocket-api." Users can contribute to its development by creating an account on GitHub. The wrapper allows for easier integration and interaction with the GetPocket API V3 using Python programming language. |
| 270 | 2020-02-27 03:23:05 UTC | How to Write Pythonic Loops – Real Python | The course teaches how to write Pythonic loops for those transitioning from C-style languages. It covers maximizing range(), xrange(), and enumerate() usage, and avoiding manual loop index tracking. |
| 271 | 2020-02-27 02:21:40 UTC | Introduction to Python SQL Libraries – Real Python | The tutorial introduces how to connect to SQLite, MySQL, and PostgreSQL databases using Python SQL libraries. It covers interacting with different database management systems and executing common queries through a Python application. |
| 272 | 2020-01-12 18:26:47 UTC | Python Descriptors: An Introduction – Real Python | The content introduces Python descriptors, explaining their use in Python's internals. It covers the descriptor protocol, the attribute lookup chain, and provides practical examples showcasing the usefulness of Python descriptors. |
| 273 | 2019-08-26 21:22:13 UTC | A Python prompt into a running process: debugging with Manhole | Learn how to debug a misbehaving Python process by accessing a live Python interpreter prompt within the running process using Manhole. This tool allows for real-time debugging and troubleshooting of issues as they occur, providing a powerful way to investigate and resolve unexpected behavior in Python applications. |
| 274 | 2019-08-26 18:45:00 UTC | YouTube | The content is a YouTube video tutorial on Python Flask basics for web development. It covers creating a static home page using Flask, including installation and adding HTML elements. Links to GitHub code, Flask installation command, and Flask documentation are provided. The video encourages viewers to engage by sharing, liking, commenting, and subscribing. The content creator can be found on Instagram as okaydexter. |
| 275 | 2019-08-26 18:44:26 UTC | (304) Remote Procedural Call via XML-RPC in 5 minutes - YouTube | The video tutorial covers implementing XML-RPC in Python 3 using xmlrpc.server and xmlrpc.client modules in 5 minutes. It includes setting up an XML-RPC server and client, handling exceptions, key aspects to consider, using classes, verbose mode, and dealing with security implications. The content emphasizes the importance of not overlooking security considerations while working with XML-RPC. |
| 276 | 2019-08-26 18:41:46 UTC | Top 15 Python Web Development Frameworks to Use in 2019 | The content discusses the top 15 Python web development frameworks to use in 2019, highlighting Python's popularity in emerging technologies. Python is widely used in web development due to its versatility and ease of use. The frameworks mentioned offer various features and tools to streamline the development process. Python's prominence in the tech industry makes it a valuable skill for developers. |
| 277 | 2019-08-26 18:41:32 UTC | Top 10 Best Python IDEs Used By Python Developers in 2019 – Web Knowledge F | The content discusses the top 10 Python Integrated Development Environments (IDEs) preferred by developers in 2019. It covers IDEs for various operating systems like Windows, Mac OS, and Linux. The article highlights the best Python IDE options available for developers to use in their Python programming projects. |
| 278 | 2019-08-26 18:41:16 UTC | How to serve HTTP 1, 2, & 3 in Python PGJones | The content discusses serving HTTP versions 1, 2, and 3 in Python by PGJones. It likely covers techniques and methods for implementing servers that support these different HTTP versions in Python. The focus is on enabling Python developers to work with various HTTP protocols efficiently. |
| 279 | 2019-08-26 11:27:14 UTC | Vim Config Update: 2019 Edition | The content discusses the author's practice of updating their Vim configuration every 2-5 years to ensure they are using the most up-to-date version and features. This periodic update helps them stay current with Vim's advancements and optimize their workflow. |
| 280 | 2019-08-23 15:09:59 UTC | What’s in your Pocket? Visualizing your Reading List with Python - Twilio | The content discusses visualizing a reading list using Python. The author reveals reading 14 books in a year and shares insights on tracking reading habits. The article likely includes Python code examples for creating visual representations of reading lists. The focus is on utilizing Python for organizing and visualizing personal reading data. |
| 281 | 2019-08-23 03:16:02 UTC | Has the Python GIL been slain? | In early 2003, Intel introduced the Pentium 4 "HT" processor running at 3 GHz with Hyper-Threading Technology. This technology aimed to improve processor efficiency by allowing it to handle multiple threads simultaneously. |
| 282 | 2019-08-23 03:15:05 UTC | The definitive guide to setup my Python workspace | The content discusses the importance of setting up a Python workspace efficiently to avoid interruptions while working on tasks. It emphasizes the need for a well-organized workspace to ensure smooth execution of commands and tasks. Proper setup can prevent delays and frustrations caused by workspace issues. |
| 283 | 2019-08-23 03:04:46 UTC | SQLAlchemy — Python Tutorial | The content discusses using SQLAlchemy in Python to work with relational databases without the need to write raw SQL queries. SQLAlchemy simplifies database interactions by providing an Object-Relational Mapping (ORM) system. It allows developers to interact with databases using Python objects and methods, abstracting away the complexities of SQL queries. SQLAlchemy enables creating, reading, updating, and deleting data from databases using Python code, making database operations more intuitive and efficient for developers. |
| 284 | 2019-08-23 03:04:33 UTC | Building Minimal Docker Containers for Python Applications | The content discusses the importance of building minimal Docker containers for Python applications to reduce image size and optimize network transfer. Keeping the container size small is a best practice for efficient deployment. Minimizing the image size helps in faster deployment and reduces resource consumption. By focusing on reducing the number of bytes transferred over the network, developers can create more efficient and lightweight Docker containers for Python applications. |
| 285 | 2019-08-23 03:04:26 UTC | The Why, When, and How of Using Python Multi-threading and Multi-Processing | This content discusses the use of multithreading and multiprocessing in Python, highlighting when to choose one over the other and providing guidance on how to implement them effectively. The emphasis is on avoiding frustration and confusion while utilizing these concurrency techniques in Python programming. |
| 286 | 2019-08-23 03:04:13 UTC | JSON — The Python Way | The content discusses JSON as a lightweight alternative to XML. JSON, or JavaScript Object Notation, is highlighted as a concise and easy-to-read data interchange format. It is presented as a simpler and more efficient option compared to XML for storing and transmitting data. |
| 287 | 2019-08-23 03:04:00 UTC | Create a Twitter Bot in Python Using Tweepy | The content discusses creating a Twitter bot using Tweepy in Python due to the prevalence of bots on Twitter. The author shares their interest in experimenting with bot creation after discovering that 15% of Twitter accounts are bots. They mention using Google to find information on creating a Twitter bot and being directed to a specific resource or tutorial. |
| 288 | 2019-08-23 03:03:53 UTC | Python List Comprehensions in 5-minutes | The content provides a quick 5-minute visual introduction to Python list comprehensions, which are concise one-liners used to create lists in Python. List comprehensions are a powerful feature in Python that allow for efficient and readable code by combining loops and conditional statements into a single line. The video likely covers the syntax and benefits of using list comprehensions to streamline code and make it more concise. |
| 289 | 2019-08-23 03:03:46 UTC | Build Simple Restful Api With Python and Flask Part 2 | The content discusses creating a simple RESTful API using Python and Flask with SQLite. It covers the functionalities of creating, reading, updating, and potentially deleting data. The focus is on demonstrating how to implement these features within the Flask framework for building APIs. |
| 290 | 2019-08-23 03:02:09 UTC | How I used Python to analyze Game of Thrones | The author shares their experience of learning Python by analyzing data related to Game of Thrones. They found an opportunity to apply Python skills to work tasks, making the process more engaging. The content suggests that analyzing Game of Thrones data served as a practical and interesting way to practice Python programming skills. |
| 291 | 2019-08-23 03:01:58 UTC | Write Better Python Functions | The content discusses the importance of writing effective Python functions as a key method of abstraction and encapsulation in programming. Functions are highlighted as a fundamental tool in Python and other modern languages for organizing code and improving readability. The focus is on the significance of well-designed functions in enhancing code quality and maintainability. |
| 292 | 2019-08-23 02:44:10 UTC | An Introduction to Clustering Algorithms in Python | The content introduces clustering algorithms in Python, focusing on unsupervised learning where data is grouped based on similarities. It contrasts supervised learning, which predicts outcomes for new data. Clustering algorithms like K-means and hierarchical clustering are discussed for organizing data into clusters. Python libraries like scikit-learn are commonly used for implementing these algorithms. The goal is to understand how clustering algorithms work and their applications in data science for pattern recognition and data segmentation. |
| 293 | 2019-08-23 02:43:57 UTC | Python Virtual Environments made easy | The content provides a quick guide on creating Python virtual environments using virtualenv. It simplifies the process of setting up isolated environments for Python projects. Virtual environments help manage dependencies and prevent conflicts between different projects by creating separate environments for each project. By using virtualenv, users can easily create, activate, and deactivate virtual environments to work on different projects without affecting system-wide Python installations. It ensures project-specific dependencies are isolated and maintained separately. |
| 294 | 2019-08-23 02:43:42 UTC | Understanding self in Python | The concept of "self" is essential in Python programming, appearing in method definitions and variable initialization. It is a key element that helps in understanding how objects interact with methods and attributes within a class. Mastering the use of "self" is crucial for effective object-oriented programming in Python. |
| 295 | 2019-08-23 02:43:29 UTC | Understanding the asterisk(*) of Python | The content is about the asterisk (*) symbol in Python. It seems to be a brief statement indicating that the author is not a native English speaker and is asking for understanding. The main focus is on clarifying the purpose of the asterisk in Python programming. |
| 296 | 2019-08-23 02:43:12 UTC | Python List Comprehensions VS Generator Expressions | The content discusses the difference between Python list comprehensions and generator expressions. List comprehensions create lists by iterating over elements, while generator expressions create iterators that yield one item at a time. List comprehensions use square brackets, while generator expressions use parentheses. List comprehensions are suitable for creating lists, while generator expressions are memory-efficient for large datasets. Understanding the distinction between the two can help optimize memory usage and improve performance in Python programming. |
| 297 | 2019-08-23 02:42:58 UTC | Why you should use pyenv + Pipenv for your Python projects | The content discusses the benefits of using pyenv and Pipenv for Python projects to establish an efficient local development workflow. It emphasizes the advantages of these tools in managing Python versions and dependencies. The focus is on improving the setup process for Python projects to enhance productivity and streamline development tasks. |
| 298 | 2019-08-23 02:42:03 UTC | Writing your own programming language and compiler with Python | The content provides an introduction to writing a programming language and compiler using Python. It likely covers the basics of language design, compiler construction, and how Python can be utilized for this purpose. The introduction may touch upon the importance of understanding language syntax, semantics, and the compilation process. It sets the stage for readers to delve into the technical aspects of creating their own programming language and compiler using Python as the implementation language. |
| 299 | 2019-08-23 02:40:52 UTC | What’s in a (Python’s) __name__? | The content introduces the __name__ variable in Python and its significance. This variable is automatically defined by Python and its value depends on how the Python script is executed. When a script is run as the main program, __name__ is set to "__main__". This feature allows code in a script to be executed only when the script is run directly, not when it is imported as a module. Understanding and utilizing the __name__ variable is important for structuring Python scripts effectively and avoiding unintended execution of code. |
| 300 | 2019-08-23 02:40:41 UTC | Another Twitter sentiment analysis with Python — Part 1 | The content discusses a forthcoming Twitter sentiment analysis project using Python. The author mentions a hiatus from posting, personal growth, and a decision to leave their job. The focus is on the upcoming analysis project, indicating a shift in their activities. |
| 301 | 2019-08-23 02:40:25 UTC | A tour of the top 5 sorting algorithms with Python code | The content discusses the importance of sorting algorithms for software engineers and developers. It highlights the top 5 sorting algorithms and provides Python code examples for each. Sorting skills are crucial for coding interviews and general programming tasks. Mastering these algorithms is essential for efficient data organization and manipulation. |
| 302 | 2019-08-23 02:40:19 UTC | Dismissing Python Garbage Collection at Instagram | Instagram has chosen to dismiss the Python garbage collection mechanism to improve performance. Garbage collection is responsible for reclaiming memory by freeing unused data. By bypassing this process, Instagram can enhance its operations. |
| 303 | 2019-08-23 02:40:11 UTC | How — and why — you should use Python Generators | Python generators have been significant since their introduction with PEP 255. They are a key feature in Python, allowing efficient iteration over large datasets by producing values one at a time. Generators are memory-efficient as they do not store all values in memory simultaneously. They are created using functions with the "yield" keyword, enabling the function to return a value and pause its execution, resuming where it left off when called again. Generators are beneficial for processing large datasets, improving performance, and reducing memory usage in Python programs. |
| 304 | 2019-08-23 02:39:18 UTC | 5 Advanced Features of Python and How to Use Them | The content discusses five advanced features of Python and how to utilize them effectively. Python is highlighted as a user-friendly and expressive language, prompting readers to explore its full potential. The article aims to encourage users to delve deeper into Python's capabilities beyond basic usage. |
| 305 | 2019-08-23 02:38:39 UTC | Build Simple Restful Api With Python and Flask Part 1 | The content discusses creating a simple RESTful API using Python and Flask, divided into 3 or 4 articles. By following the series, readers will learn how to easily build a RESTful API. |
| 306 | 2019-08-23 02:38:28 UTC | Asynchronous Python | The content is concise, stating "Await the Future." This likely refers to the concept of asynchronous programming in Python, where the "await" keyword is used to pause the execution of a coroutine until the result is ready. This allows for non-blocking operations, improving efficiency and responsiveness in Python programs. The phrase emphasizes the importance of leveraging asynchronous programming techniques to handle tasks that may take time to complete, ensuring that the program can continue executing other operations in the meantime. |
| 307 | 2019-08-23 02:37:51 UTC | Building Beautiful Command Line Interfaces with Python | The content discusses creating aesthetically pleasing command line interfaces using Python. It likely covers topics such as designing user-friendly interfaces, incorporating colors and formatting, handling user input, and enhancing the overall user experience of command line applications. The focus is on utilizing Python to build visually appealing and functional command line interfaces. |
| 308 | 2019-08-23 02:37:35 UTC | 36 Amazing Python Open Source Projects (v.2019) | The content highlights the selection of the top 36 open source Python projects from a pool of nearly 5,000 projects over the past year. These projects are considered amazing and valuable resources for Python developers. |
| 309 | 2019-08-23 02:37:24 UTC | 10 common security gotchas in Python and how to avoid them | The content discusses 10 common security pitfalls in Python programming and provides tips on how to avoid them. It emphasizes the challenges of writing secure code and highlights the importance of understanding how to properly use language features, modules, and frameworks to prevent vulnerabilities. By being aware of these common security mistakes and following best practices, developers can enhance the security of their Python applications. |
| 310 | 2019-08-23 02:37:16 UTC | 10 Python File System Methods You Should Know | Learn essential Python file system methods to manage files and folders effectively in your programs using the 'os' and 'shutil' modules. These tools provide functions for tasks like creating, deleting, moving, and renaming files and directories. By mastering these methods, you can efficiently handle file system operations within your Python scripts. |
| 311 | 2019-08-23 02:37:05 UTC | Lambda, Map, and Filter in Python | The content discusses Lambda, Map, and Filter functions in Python, focusing on their syntax and usage. Lambda functions are anonymous functions used for short tasks. Map applies a function to all elements in a list. Filter creates a new list with elements that meet a specific condition. These functions are powerful tools in Python for concise and efficient coding. |
| 312 | 2019-08-23 02:36:58 UTC | Intro to Threads and Processes in Python | The content provides an introductory guide to parallel programming in Python, focusing on threads and processes. It is tailored for beginners looking to understand the basics of running multiple tasks concurrently in Python. The main emphasis is on the difference between threads and processes, and how they can be utilized to achieve parallelism in programming. Overall, the content serves as a starting point for those interested in exploring parallel programming concepts using Python. |
| 313 | 2019-08-23 02:36:51 UTC | Understanding the underscore( _ ) of Python | The content does not provide information about understanding the underscore (_) in Python. It simply mentions that the author is not a native English speaker and apologizes for any language mistakes. |
| 314 | 2019-08-23 02:36:40 UTC | I Wrote a Script to WhatsApp My Parents Every Morning in Just 20 Lines of Python Code | The content provides a step-by-step guide on how to create a script using just 20 lines of Python code to send a WhatsApp message to parents every morning. It outlines the process in a concise and clear manner, making it easy for readers to follow along and implement the script themselves. The focus is on the simplicity and efficiency of achieving this task with minimal lines of code, showcasing the power and versatility of Python for practical applications like automated messaging. |
| 315 | 2019-08-23 02:35:58 UTC | How I used Python to find interesting people to follow on Medium | The content discusses using Python to identify interesting people to follow on Medium due to the platform's vast content and user base. By leveraging Python, the author was able to streamline the process of discovering engaging individuals to follow amidst the abundance of posts on Medium. This approach helped in efficiently navigating through the overwhelming volume of content and users on the platform, making it easier to identify and connect with individuals who share valuable insights and perspectives. |
| 316 | 2019-08-23 02:35:42 UTC | 30 Amazing Python Projects for the Past Year (v.2018) | In 2018, a selection process compared 15,000 open source Python projects to identify the top 30 projects, representing a 0.2% chance of being chosen. |
| 317 | 2019-08-23 02:35:31 UTC | A million requests per second with Python | Achieving a million requests per second with Python was not feasible until recently. |
| 318 | 2019-08-23 02:34:51 UTC | Building a Simple Chatbot from Scratch in Python (using NLTK) | The content discusses the rising importance of chatbots in customer service interactions, with Gartner estimating that by 2020, they will handle 85% of such interactions. The article focuses on building a basic chatbot from scratch using Python and NLTK. It highlights the simplicity of the process and the potential impact of chatbots in streamlining customer service. |
| 319 | 2019-08-23 02:34:19 UTC | How to scrape websites with Python and BeautifulSoup | The content discusses the use of Python and BeautifulSoup for web scraping to extract information from websites efficiently. It highlights the vast amount of data available on the internet and the need for tools like BeautifulSoup to gather and process this information. Web scraping allows users to automate the extraction of data from websites for various purposes. |
| 320 | 2019-08-23 02:34:11 UTC | An A-Z of useful Python tricks | Python is a highly popular programming language globally. |
| 321 | 2019-08-23 02:33:59 UTC | What exactly can you do with Python? Here are Python's 3 main applications. | Python is widely used in web development, scripting, machine learning, and data analysis/visualization. Its main applications include creating websites, automating tasks through scripting, building machine learning models, and analyzing and visualizing data. Python's versatility and ease of use make it a popular choice for various tasks across different industries. |
| 322 | 2019-08-23 02:32:46 UTC | Learning Python: From Zero to Hero | The content discusses Python, a programming language created by Guido van Rossum. Python is introduced and its creator's perspective is highlighted. |
| 323 | 2019-08-23 02:23:38 UTC | Why Is There an F in Front of This String? | The content introduces f-strings, a feature in Python for string formatting. F-strings are denoted by placing an 'f' or 'F' in front of a string literal, allowing for easy interpolation of variables within the string. This method simplifies string formatting by directly embedding variables and expressions within the string, making the code more readable and concise. F-strings provide a convenient and efficient way to format strings in Python, enhancing the readability and maintainability of code. |
| 324 | 2019-08-22 17:52:11 UTC | Pyshark - Python Wrapper For Tshark, Allowing Python Packet Parsing Using Wireshark Dissectors | Pyshark is a Python wrapper for Tshark that enables Python developers to parse packets using Wireshark dissectors. It allows for efficient packet analysis and manipulation within Python scripts. |
| 325 | 2018-07-28 01:27:27 UTC | Python 3's f-Strings: An Improved String Formatting Syntax (Guide) – Real P | Python 3.6 introduced f-strings as a more readable, concise, and error-resistant method for string formatting. They offer faster performance compared to other formatting methods. This guide aims to explain the benefits of f-strings and encourage their adoption. By utilizing f-strings, users can enhance their string formatting experience in Python. |
| 326 | 2018-07-28 01:27:14 UTC | The Ultimate List of Python YouTube Channels – Real Python | Real Python compiled a list of the top Python YouTube channels due to the lack of an updated resource online. The list features the best Python developers and programming content creators, aiming to provide a curated selection of Pythonic YouTubers for viewers seeking quality Python-related content. |
| 327 | 2018-07-27 23:57:48 UTC | Top 10 Visual Studio Code extensions for Python development | The content discusses the top 10 Visual Studio Code extensions for Python development. Visual Studio Code is a popular code editor. Extensions enhance its functionality. The article likely lists extensions that aid Python developers in coding tasks. Extensions can provide features like code completion, debugging tools, and syntax highlighting. These tools can streamline the development process, improve code quality, and boost productivity. The extensions recommended in the article are likely to be highly rated and widely used by Python developers working in Visual Studio Code. |
| 328 | 2018-07-27 03:54:52 UTC | Building a Simple Web App With Bottle, SQLAlchemy, and the Twitter API – Re | The content discusses creating a web app using Bottle, SQLAlchemy, and the Twitter API. It aims to guide readers on developing a simple web application by integrating these technologies. The focus is on utilizing Bottle for web framework, SQLAlchemy for database interaction, and the Twitter API for accessing Twitter data. The article likely provides step-by-step instructions or code snippets to help readers understand the process of building the app. |
| 329 | 2018-07-27 03:46:29 UTC | The Flask Mega-Tutorial Part I: Hello, World! - miguelgrinberg.com | The content introduces a tutorial series on creating web applications with Python and Flask. The first chapter covers setting up a Flask project. |
| 330 | 2018-07-27 03:44:00 UTC | Twitter Sentiment Analysis – Python, Docker, Elasticsearch, Kibana – Real P | The content explains a guide on conducting Twitter sentiment analysis with Python, Docker, Elasticsearch, and Kibana. |
| 331 | 2018-07-27 03:42:02 UTC | What Can I Do With Python? – Real Python | The tutorial provides guidelines for applying Python skills to real-world problems, helping readers understand the practical applications of Python. By the end, readers will have a clearer idea of the possibilities and opportunities available for using Python in various scenarios. |
| 332 | 2018-07-22 15:52:44 UTC | Why is Python so slow? | HackerNoon | Python is a popular programming language widely used in various fields like DevOps, Data Science, Web Development, and Security. Despite its popularity, Python is known to be slower compared to other languages due to factors like its interpreted nature and dynamic typing. Its ease of use and versatility make it a preferred choice for many developers despite its speed limitations. |
| 333 | 2018-07-22 15:51:44 UTC | Modifying the Python language in 6 minutes | HackerNoon | The author attempted their first pull request to the CPython core project, which was rejected. Despite this, they share insights on CPython's workings and demonstrate how Python syntax can be easily modified. The content highlights the author's experience with contributing to the Python language and emphasizes the accessibility of making changes to Python syntax. |
| 334 | 2018-07-22 15:35:29 UTC | Why is Python so slow? | HackerNoon | Python is gaining popularity due to its versatility in various fields such as DevOps, Data Science, Web Development, and Security. Despite its widespread use, Python is known for being slower compared to other programming languages. This slowness is attributed to factors like being an interpreted language, Global Interpreter Lock (GIL), and dynamic typing. Despite its speed limitations, Python's ease of use, readability, and extensive library support make it a preferred choice for many developers in a wide range of applications. |
| 335 | 2018-07-19 02:52:48 UTC | SQLAlchemy ORM Tutorial for Python Developers | The content introduces a tutorial on using SQLAlchemy ORM for Python developers to store and retrieve data in Python applications efficiently. |
| 336 | 2018-07-18 22:09:22 UTC | Introductory Tutorial of Python's SQLAlchemy | Python Central | The content provides an introductory tutorial on Python's SQLAlchemy, focusing on Object-Relational Mapping (ORM) and its usage with SQLAlchemy. It aims to explain the concept of ORM and its application within the context of SQLAlchemy in Python. |
| 337 | 2018-07-18 14:26:00 UTC | Fluent Python: The Power of Special Methods | The content seems to be a reference to the book "Fluent Python" which likely discusses the importance and capabilities of special methods in Python programming. Special methods are built-in functions in Python classes that enable customization of behavior for objects. These methods are denoted by double underscores before and after their names, such as `__init__` for initialization. Understanding and utilizing special methods can enhance the power and flexibility of Python code. |
| 338 | 2018-07-13 17:01:58 UTC | Metaprogramming — Python 3 Patterns, Recipes and Idioms | The content is about metaprogramming in Python 3, focusing on patterns, recipes, and idioms related to this advanced programming technique. Metaprogramming involves writing code that manipulates or generates other code during runtime. It allows for dynamic modifications and customization of programs. The content likely explores various strategies and best practices for leveraging metaprogramming in Python 3 to enhance code flexibility and efficiency. |
| 339 | 2018-07-13 17:01:03 UTC | oop - What are metaclasses in Python? - Stack Overflow | Metaclasses in Python are a way to define how classes themselves are created. They are used to customize class creation, allowing developers to control how classes behave. Metaclasses can be used to enforce coding standards, validate class definitions, or modify class attributes. They provide a powerful tool for metaprogramming and can be useful for advanced scenarios where customization of class behavior is needed. |
| 340 | 2018-07-11 17:16:22 UTC | PEP 20 -- The Zen of Python | Python.org | PEP 20, also known as "The Zen of Python," is a set of guiding principles for Python developers. It emphasizes readability, simplicity, and practicality in code. PEP 20 outlines 19 aphorisms that reflect Python's design philosophy, such as "Beautiful is better than ugly" and "Simple is better than complex." These principles help developers write clean, maintainable, and efficient Python code. The Zen of Python serves as a foundational document for the Python community, guiding best practices and fostering a shared understanding of Python's core values. |
| 341 | 2018-07-11 16:43:04 UTC | Idiomatic Python — Intermediate and Advanced Software Carpentry 1.0 documen | The content titled "Idiomatic Python — Intermediate and Advanced Software Carpentry 1.0 document" likely focuses on advanced techniques and best practices for writing Python code efficiently and effectively. It may cover topics such as using Python idioms, advanced programming concepts, and optimizing code for better performance. The document is likely aimed at intermediate to advanced Python developers looking to enhance their skills and write more concise and readable code. |
| 342 | 2016-05-10 16:44:51 UTC | Primer on Jinja Templating - Real Python | Jinja is a tool for creating dynamic templates for web applications, even without a web framework. It allows for building text files with programmable content. It enables the creation of rich templates to enhance the front end of web applications. |
| 343 | 2016-01-21 19:48:44 UTC | python/scapy DNS sniffer and parser - Stack Overflow | The user has a Python/Scapy DNS sniffer that successfully captures DNS messages and extracts IP/UDP source/destination addresses and ports. However, they are encountering difficulties parsing the DNS part of the messages. They are seeking assistance with parsing the DNS information. |
| 344 | 2013-11-30 13:08:20 UTC | The Python Indie Bundle | The content provided is simply the title "The Python Indie Bundle" without any additional information or context. |