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IDEs with code completion and other features.

  • Komodo - Multi-language IDE with support for Python 2.x and Python 3.x
  • PyCharm - Free open-source IDE with a smart Python editor providing quick code navigation, code completion, refactoring, unit testing and debugger.
  • WingIDE - Commercial Python IDE with advanced debugger, editor with vi, emacs, visual studio and other key bindings, auto-completion, auto-editing, snippets, goto-definition, find uses, refactoring, unit testing, source browser, and much more.
  • NetBeans - Python/Jython support in NetBeans. Open source, allows Python and Jython Editing, code-completion, debugger, refactoring, templates, syntax analysis, etc.
  • VS Tools for Python - Open-source plugin for Visual Studio 2010, 2012 and 2013. Supports syntax highlighting, debugging and rich intellisense, refactoring, object browser, MPI cluster debugging, Django intellisense and debugging, development REPL window and a debugging REPL window.
  • Atom - 4th Generation enhanced GUI, rich integrated enviornmet for multiple languages including python.
  • Visual Studio Code - Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux. It comes with built-in support for JavaScript, TypeScript and Node.js and has a rich ecosystem of extensions for other languages (such as C++, C#, Java, Python, PHP, Go) and runtimes (such as .NET and Unity).

Debugger

  • pudb - A visual, console-based, full-screen debugger, designed as a more comfortable drop-in replacement for pdb.
  • pyDebug - Debugger for Python programs with a graphical user interface.
  • gdb - Windows Pyclewn allows using Vim as a front end to a debugger. Pyclewn currently supports gdb and pdb.

Testing

  • pyUnit - Unit testing library for python.
  • zopeTesting - Provides a powerful test runner that supports test discovery and a wide range of options to control how tests are run and results reported.

Python Data Science Platform

  • Anaconda - Anaconda is a an open source distribution of the Python and R programming languages and it is used in data science, machine learning, deep learning-related applications aiming at simplifying package management and deployment