What software to use for python coding

Python development software can be divided into two types according to its different uses. One is the Python code editor and the other is the Python integrated development tool. The combined use of the two can greatly improve the programming efficiency of Python developers, as follows It is several commonly used Python code editors and Python integrated development tools.

1. Python code editor
1. Sublime Text
Sublime Text is a very popular code editor that supports Python code editing and is compatible with All platforms, and rich plug-ins extend the grammar and editing functions. It is fast, compact, has good compatibility, and is very popular among programmers!
2. Vim
Vim and Vi are model editors that separate text viewing from text editing. VIM has made many improvements over the original VI, including extensible models and in-place code construction. VIMScripts can be used for a variety of Python development tasks!
3. Atom
Atom is known as the "21st century hackable text editor". It is compatible with all platforms, has a stylish interface, a file system browser and an extension market. It is built using Electron and its runtime The installed extension can support Python language!
4. GNU Emacs
GNU Emacs is a lifetime free code editor compatible with any platform. It is customized using the powerful Lisp programming language and provides various customized scripts for Python development. It is an extensible , customizable, automatic recording, real-time display editor, has been lingering around UNIX.
5. Visual Studio Code
Visual Studio Code is a full-featured code editor compatible with Linux, Mac OS X and Windows platforms. It is extensible and can be configured for almost all tasks. Support for Python can be found in To install the plug-in in Visual Studio Code, you only need to quickly click the button to install it successfully, and the Python installation and library can be automatically recognized.
2. Python Integrated Development Environment
1. PyCharm
PyCharm is the only full-featured integrated development environment specifically for Python. It also has a paid version and a free open source version. PyCharm Whether in Windows, Mac OS X systems, or Linux systems, it supports quick installation and use.
PyCharm directly supports the Python development environment. Open a new file and start writing code. You can also run and debug Python programs directly in PyCharm. It also supports source code management and projects, and it has many conveniences and support communities. , can quickly master and learn to use!
2. Eclipse PyDev
PyDev is a plug-in for the Eclipse integrated development environment. It supports Python debugging, code completion and interactive Python console. It is very convenient to install PyDev in Eclipse. Just select " Help" click "Eclipse Marketplace" and then search for PyDev, click Install, and restart Eclipse if necessary. For experienced Eclipse developers, PyDev can be easily used!
3. Visual Studio
Visual Studio is a full-featured integrated development platform that provides free and paid versions, can support the development of various platforms, and comes with its own extension plug-in market. Python programming can be performed in Visual Studio, and Python IntelliSense, debugging and other tools are supported. It is worth noting that Visual Studio does not support the Linux platform!
4. Spyder
Spyder is an open source Python integrated development environment optimized for data science workflow. It is included in the Anaconda package manager distribution. Spyder has most of the integrated development environments. It has functions such as a code editor with powerful syntax highlighting, Python code completion and an integrated file browser. It also has a variable browser function that is not available in other Python editing environments, making it very suitable for data scientists who use Python. .
5. Thonny
Thonny is an integrated development environment for novices, applicable to all mainstream platforms. By default, Thonny will be installed together with the bundled Python version, which is very convenient for novices to use!

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