What to use to write python in linux

Tools for linux to write python: 1. vim; 2. atom; 3. sublime text; 4. Visual Studio Code; 5. PyCharm; 6. Spyder; 7. PyDev; 8. Python IDLE; 9 , Wing, etc.

#The operating environment of this tutorial: linux5.9.8 system, Dell G3 computer.

linux tool (editor) that can write python

1, vim

Vim is a text editor developed from vi. It is particularly rich in functions that facilitate programming, such as code completion, compilation, and error jumping, and is widely used among programmers.

To put it simply, vi is an old-fashioned word processor, but its functions are already very complete, but there is still room for improvement. vim can be said to be a very useful tool for program developers.

2. atom

Atom is a cross-platform text editor launched by Github specifically for programmers. It supports the three major desktop platforms of Windows, Mac and Linux and is completely free. .

3. sublime text

Sublime Text is a text editor (paid software, you can try it on a regular basis, but there will be an activation prompt pop-up window), and it is also an advanced code editor. Sublime Text was developed by programmer Jon Skinner in January 2008. It was originally designed as a Vim with rich extension functions.

4. Visual Studio Code

Visual Studio Code project: a project running on Mac OS X, Windows and Linux, for writing modern web and cloud applications A cross-platform source code editor.

5. PyCharm

Supported operating systems: Windows, MacOS and Linux distributions.

IDE PyCharm developed and maintained by JetBrains is one of the most popular Python IDEs. In a survey conducted by JetBrains, more than 20% of developers mentioned Pycharm as their preferred IDE.

As an IDE, PyCharm does more than just allow you to import libraries and write code. It is a professional-grade IDE that allows Python developers to write production-grade and maintainable code.

6. Spyder

Supported operating systems: Windows, MacOS, Linux

SPYDER is actually the acronym for the scientific PYthon development environment. This IDE is mainly used by the Scientific Python community.

This Python IDE has built-in tools and libraries such as Numpy, Scipy, Matplotlib, etc. Powerful features built specifically for scientific programming make Spyder the IDE of choice. It is also one of the best choices for scientific programmers outside of Matlab.

7. PyDev

Supported operating systems: Windows, MacOS, Linux

PyDev was originally an IDE mainly for Eclipse, which allows Pythonista writes code on Eclipse. But no, it has been extended beyond Eclipse and now also integrates with Visual Studio Code.

8. Python IDLE

Supported operating systems: Windows, MacOS, Linux

After downloading Python , the Python bundle provides Python IDLE by default. This is a great IDE for entry-level Python programmers because it is easy to set up on all operating systems.

It's completely free. However, creating advanced, production-grade Python code is not enough.

9. Wing Python IDE

Supported operating systems: Windows, MacOS, Linux

Wing is faster, stable and lightweight Python IDE and is often compared to PyCharm. From affordable subscription options to numerous features, this is an IDE that every PyCharm user should check out.

10. Jupyter Notebook

Supported operating systems: Windows, Linux and MacOS

Jupyter Notebook is a favorite among scientific computing and data professionals Python editor. If your job involves data exploration, research, and presentations, look no further than Jupyter.

You can save the notebook in JSON format and export the results to PDF and HTML formats.

Related recommendations: "Linux Video Tutorial"

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