What software is good to use to learn python? Recommended python development tools

What software is good to use to learn python? For python developers, there are many development tools available on the Internet, but for beginners who don’t know which python development tool is better, finding a suitable python development tool is difficult and requires a lot of time and effort. Therefore, today PHP Chinese website recommends ten useful Python development tools for beginners.

Python development software can be divided into two types according to its use. One is the Python code editor and the other is the Python integrated development tool. The two can be used together. Greatly improve the programming efficiency of Python developers, the following are several commonly used Python code editors and Python integrated development tools.

1. Python code editor

1. Sublime Text

Sublime Text is a It is a very popular code editor that supports Python code editing and is compatible with all platforms. Its rich plug-ins extend the syntax and editing functions. It is fast and 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 done a lot on top of the original VI. With improvements, including extensible models and in-place code building, VIMScripts can be used for a variety of Python development tasks!

3. Atom

Atom is called "the 21st century hackable text editor" and is compatible with all platforms and has a stylish interface and file system browser. And the extension plug-in market is built using Electron, and the extension plug-ins installed at runtime can support the Python language!

4. GNU Emacs

GNU Emacs is a lifetime free code editor compatible with any platform, customized with the powerful Lisp programming language and built for Python Developed to provide various customized scripts, it is an extensible, customizable, automatic recording, and real-time display editor that has always been around UNIX.

5. Visual Studio Code

Visual Studio Code is a full-featured code editor compatible with Linux, Mac OS Configuring almost any task, support for Python can be installed in Visual Studio Code. The installation is successful with just a quick click of a button, and Python installations and libraries are automatically recognized.

2. Python integrated development environment

1. PyCharm

PyCharm is the only one A full-featured integrated development environment specifically for Python, it also has a paid version and a free open source version. PyCharm supports quick installation and use in Windows, Mac OS X systems, and Linux systems.

PyCharm directly supports the Python development environment. You can 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 community, you can quickly learn to use it!

2. Eclipse PyDev

PyDev is a plug-in for the Eclipse integrated development environment, supporting Python debugging, code completion and interactive Python console, etc., in Eclipse Installing PyDev is very convenient. Just select "Help" from Eclipse, click "Eclipse Marketplace" and then search for PyDev, click Install, and restart Eclipse when 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 and can support the development of various platforms. Comes with its own extension 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 distributed with the Anaconda package manager In the version, Spyder has most of the functions that an integrated development environment should have, such as a code editor with powerful syntax highlighting, Python code completion, and an integrated file browser. It also has variables that are not available in other Python editing environments. The browser function is very suitable for data scientists using Python.

5. Thonny

Thonny is an integrated development environment for novices, suitable for all mainstream platforms. By default, Thonny will be bundled with Python The version is installed together, which is very convenient for novices to use!

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