We encourage you to always use the latest stable version of our libraries, other dependencies, and Python.

The latest feature version for each project will receive bug and security fixes. Older feature versions will not receive fixes. Depending on severity and level of effort, security fixes may be backported one version upon request.

When a release is made, it supports all Python versions that are not within six months of end of life (EOL). See Python's EOL calendar for timing.test python

This document gives coding conventions for the Python code comprising the standard library in the main Python distribution. Please see the companion informational PEP describing style guidelines for the C code in the C implementation of Python.

This document and PEP 257 (Docstring Conventions) were adapted from Guido’s original Python Style Guide essay, with some additions from Barry’s style guide [2].

This style guide evolves over time as additional conventions are identified and past conventions are rendered obsolete by changes in the language itself.

Many projects have their own coding style guidelines. In the event of any conflicts, such project-specific guides take precedence for that project.python

What are the lesser-known but useful features of the Python programming language?

• Argument Unpacking
• Braces
• Chaining Comparison Operators
• Decorators
• Default Argument Gotchas / Dangers of Mutable Default arguments
• Descriptors
• Dictionary default .get value
• Docstring Tests
• Ellipsis Slicing Syntax
• Enumeration
• For/else
• Function as iter() argument
• Generator expressions
• import this
• In Place Value Swapping
• List stepping
• missing items
• Multi-line Regex
• Named string formatting
• Nested list/generator comprehensions
• New types at runtime
• .pth files
• ROT13 Encoding
• Regex Debugging
• Sending to Generators
• Tab Completion in Interactive Interpreter
• Ternary Expression
• try/except/else
• Unpacking print() function
• with statement

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Python Cookbook is an extremely valuable collection of recipes or tips on how to solve certain kinds of problems using Python. This is a must-read for every Python user.python

Greetings, Earthling! Welcome to The Hitchhiker’s Guide to Python.

This is a living, breathing guide. If you’d like to contribute, fork us on GitHub!

This handcrafted guide exists to provide both novice and expert Python developers a best practice handbook for the installation, configuration, and usage of Python on a daily basis.

This guide is opinionated in a way that is almost, but not quite, entirely unlike Python’s official documentation. You won’t find a list of every Python web framework available here. Rather, you’ll find a nice concise list of highly recommended options.python

Free Python Games is an Apache2 licensed collection of free Python games intended for education and fun. The games are written in simple Python code and designed for experimentation and changes. Simplified versions of several classic arcade games are included.games python

PyMOTW-3 is a series of articles written by Doug Hellmann to demonstrate how to use the modules of the Python 3 standard library. It is based on the original PyMOTW series, which covered Python 2.7. See About Python Module of the Week for details including the version of Python and tools used.python

PyMOTW is a series of blog posts written by Doug Hellmann. It was started as a way to build the habit of writing something on a regular basis. The focus of the series is building a set of example code for the modules in the Python standard library.

See the project home page at http://pymotw.com/ for updates and the latest release. Source code is available from https://github.com/dhellmann/pymotw.

Complete documentation for the standard library can be found on the Python web site at http://docs.python.org/library/.test python

Welcome to the official IPython documentation.

IPython provides a rich toolkit to help you make the most of using Python interactively. Its main components are:

• A powerful interactive Python shell.
• A Jupyter kernel to work with Python code in Jupyter notebooks and other interactive frontends.

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IPython provides a rich architecture for interactive computing with:

• A powerful interactive shell.
• A kernel for Jupyter.
• Support for interactive data visualization and use of GUI toolkits.
• Flexible, embeddable interpreters to load into your own projects.
• Easy to use, high performance tools for parallel computing.

To get started with IPython in the Jupyter Notebook, see our official example collection. Our notebook gallery is an excellent way to see the many things you can do with IPython while learning about a variety of topics, from basic programming to advanced statistics or quantum mechanics.

To learn more about IPython, you can download our talks and presentations, or read our extensive documentation. IPython is open source (BSD license), and is used by a range of other projects; add your project to that list if it uses IPython as a library, and please don’t forget to cite the project.

IPython supports Python 2.7 and 3.3 or newer. Our older 1.x series supports Python 2.6 and 3.2.python

One of Python’s most useful features is its interactive interpreter. It allows for very fast testing of ideas without the overhead of creating test files as is typical in most programming languages. However, the interpreter supplied with the standard Python distribution is somewhat limited for extended interactive use.

The goal of IPython is to create a comprehensive environment for interactive and exploratory computing. To support this goal, IPython has three main components:

• An enhanced interactive Python shell.
• A decoupled two-process communication model, which allows for multiple clients to connect to a computation kernel, most notably the web-based notebook provided with Jupyter.
• An architecture for interactive parallel computing now part of the ipyparallel package.

All of IPython is open source (released under the revised BSD license).test python

Summary:

• IPython enhances Python's interactive mode with syntax highlighting and magic commands
• It offers built-in help, tab completion, and the ability to run system commands within Python
• You can log sessions for review, further enhancing IPython's functionality.

One of Python's best features is its interactive interpreter that lets you test your code quickly. What if there was something even better than Python's own interpreter? There is, and it's called IPython.test

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

It provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.map

Python is considered one of the best programming languages in the modern world. It has a vast field of usages like the development of desktop graphical user interface (GUI), apps development, development of websites, development of scientific applications and numeric applications, development of games, etc. To study this high-value language as a newbie, you need to choose a set of appropriate books. You might get confused once you see numerous books around you. Breath! Here we are to ease up your work. We are going to discuss some best Python books that are perfect for those who want to learn python.games

Package, dependency and environment management for any language---Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C , FORTRAN

Conda is an open-source package management system and environment management system that runs on Windows, macOS, and Linux. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs but it can package and distribute software for any language.

Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.ruby javascript

In this tutorial, you’ll learn about using Emacs for Python development, including how to:

• Install Emacs on your selected platform
• Set up an Emacs initialization file to configure Emacs
• Build a basic Python configuration for Emacs
• Write Python code to explore Emacs capabilities
• Run and Test Python code in the Emacs environment
• Debug Python code using integrated Emacs tools
• Add source control functionality using Git

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Python is one of the fastest-growing programming languages in the word, but you still don’t know where to learn it and how to get started, because most of the resources are not free.

So, I am going to give you 5 Best Websites To Learn Python For Free. These websites are the ones that I would choose if I was learning Python all over again.test

About two years ago, I begrudgingly opened Visual Studio Code (VS Code) for the first time. The only reason I even did so is that I was working on a TypeScript project (also quite begrudgingly) and I was tired of fighting with the editor and the compiler and all of the settings that I needed to make a TypeScript project work. Someone mentioned to me that TypeScript “just works” in VS Code and I was pleasantly surprised to find that they were right.

I expected that though. VS Code is from Microsoft, so it’s entirely expected that TypeScript would just work. What I did not expect was that virtually anything that I needed to do in VS Code “just worked” too. And I do mean anything. While this article focuses primarily on features for the web as well as JavaScript developers, VS Code has integrations with Go, Python, Java, and Ruby — just to name a few.

Over the next few months, I began to discover things in VS Code that I found remarkable. I made the official switch to VS Code, and I haven’t looked back since. Over the months I’ve been compiling a list of my favorite tips, tricks, and extensions for VS Code that might leave you with the same reaction that I had and continue to have: “VS Code can do that?!”microsoft ruby react javascript typescript

The young web developer knows the web. They’ve spent countless hours slinging divs and casting margins. They’ve hammered out countless to-do applications in JavaScript, Python, Golang, Fortran, Basic… you name it!

But now, this hotshot developer wants to conquer a less familiar territory. They want to displace their team’s gang of mobile developers—all of them—by using the hip new framework, React Native. Thinking it’ll be practically like writing a simple web application, they install the React Native CLI and scaffold an empty project.

It starts off just fine. They find out that instead of divs, they must create Views. In order to create text, they must use the built in Text component. Instead of CSS, they must use inline JavaScript styles. In order to create a nice layout, they require some knowledge of flexbox.

But then they want to wield more powerful features like geolocation, audio input, or push notifications. They find that in order to enable these features, they must open up XCode and edit some fairly verbose configuration files, change the plist, and create headers and implementations in Objective-C. They start to think that maybe they should stick to the web.

Enter Expo

Fortunately, the beautiful team over at Expo has created a pretty powerful SDK that greatly improves the React Native developer experience. They’ve made it such that when you create an application with Expo, you will probably never have to crack open XCode or edit any platform-specific configuration files.map react javascript