Python is a very easy to learn, powerful programming language. Python includes efficient high-level data structures that provide simple and efficient object-oriented programming.
The learning process of Python is indispensable without an IDE or code editor, or an integrated development editor (IDE). These Python development tools help developers speed up Python development and improve efficiency. An efficient code editor or IDE should provide plug-ins, tools and other features that can help developers develop efficiently.
This article collects some of the best 10 Python IDEs that are very helpful to developers. If you have other better recommendations, please share them with everyone in the comments:)
1. Vim
Vim can be said to be the best in Python IDE. Vim is an advanced text editor designed to provide actual Unix editor 'Vi' functionality, supporting a more comprehensive feature set. Vim doesn't take much time to learn, and once you need a seamless programming experience, integrate Vim into your workflow.
2. Eclipse with PyDev
Eclipse is a very popular IDE and has a long history. Eclipse with Pydev allows developers to create useful and interactive web applications. PyDev is an IDE for Python development in Eclipse, supporting the development of Python, Jython and IronPython.
3. Sublime Text
Sublime Text is one of the most popular editors among developers. It is multi-functional, supports multiple languages, and is in development The community is very popular. Sublime has its own package manager that developers can use to install components, plugins, and additional styles, all of which can enhance your coding experience.
4. Emacs
GNU Emacs is an extensible, customizable text editor with even more features. At its core, Emacs is the Emacs Lisp parser, but supports text editing. If you already use Vim, give Emacs a try.
5. Komodo Edit
Komodo Edit is a very clean and professional Python IDE.
6. PyCharm
PyCharm is a Python IDE developed by JetBrains. PyCharm is used for the functions that general IDEs have, such as debugging, syntax highlighting, project management, code jumps, smart prompts, auto-completion, unit testing, version control... In addition, PyCharm also provides some good functions for Developed with Django, it also supports Google App Engine. What’s even cooler is that PyCharm supports IronPython!
7. Wing
Wingware’s Python IDE is compatible with Python 2.x and 3.x, and can be combined with Django, matplotlib, Zope, Plone, App Engine , PyQt, PySide, wxPython, PyGTK, Tkinter, mod_wsgi, pygame, Maya, MotionBuilder, NUKE, Blender and other Python frameworks. Wing supports test-driven development and integrates unit testing, nose and Django framework execution and debugging functions. Wing IDE starts and runs very quickly and supports Windows, Linux, OS X and Python versions.
8. PyScripter
PyScripter is a free and open source Python integrated development environment (IDE).
9. The Eric Python IDE
Eric is a full-featured Python and Ruby editor and IDE written in Python. Eric integrates the highly flexible Scintilla editor control based on the cross-platform GUI toolkit Qt. Eric includes a plug-in system that allows easy functional extension of the IDE.
10. Interactive Editor for Python
#IEP is a cross-platform Python IDE designed to provide a simple and efficient Python development environment. It includes two important components: editor and Shell, and provides a plug-in tool set to improve developer efficiency from all aspects
The above is the detailed content of The ten most popular Python IDEs for Python developers. For more information, please follow other related articles on the PHP Chinese website!

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Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

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