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
nodemonnodemon.io  2016-09-24
Nodemon is a utility that will monitor for any changes in your source and automatically restart your server. Perfect for development. Install it using npm.

Just use nodemon instead of node to run your code, and now your process will automatically restart when your code changes. To install, get node.js, then from your terminal run:

npm install -g nodemon

Features

  • Automatic restarting of application.
  • Detects default file extension to monitor.
  • Default support for node & coffeescript, but easy to run any executable (such as python, make, etc).
  • Ignoring specific files or directories.
  • Watch specific directories.
  • Works with server applications or one time run utilities and REPLs.
  • Requirable in node apps.
  • Open source and available on github.
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Kivy - Open source Python library for rapid development of applications that make use of innovative user interfaces, such as multi-touch apps.

Cross platform

Kivy runs on Linux, Windows, OS X, Android and iOS. You can run the same code on all supported platforms.

It can use natively most inputs, protocols and devices including WMTouch, WMPen, Mac OS X Trackpad and Magic Mouse, Mtdev, Linux Kernel HID, TUIO. A multi-touch mouse simulator is included.

Business Friendly

Kivy is 100% free to use, under an MIT license (starting from 1.7.2) and LGPL 3 for the previous versions. The toolkit is professionally developed, backed and used. You can use it in a commercial product.

The framework is stable and has a well documented API, plus a programming guide to help you get started.

GPU Accelerated

The graphics engine is built over OpenGL ES 2, using a modern and fast graphics pipeline.

The toolkit comes with more than 20 widgets, all highly extensible. Many parts are written in C using Cython, and tested with regression tests.test

Tutorials Point is not a commercial site, this site has been created just for educational purposes and to help the people who are enthusiastic to learn new technologies....

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Gestalt is a way to write Ruby, Python & XAML code in your (X)HTML pages. It enables you to build richer and more powerful web applications by marrying the benefits of expressive languages, modern compilers, AJAX & RIAs with the write » save » refresh development model of the web.

Gestalt is a way of building more powerful web applications without changing the way you work.ruby
Generated: 2025-07-24 02:02
Compiled: 2024-10-13 14:46
Guido Van Hoecke