Let Python code fly, experts must use ten VSCode plug-ins

As a Python programmer, plug-ins in VSCode can help us develop more efficiently and improve the quality and efficiency of code.

In this article, I will recommend some commonly used Python VSCode plug-ins, hoping to help you better use VSCode for Python development.

Python

The Python plug-in is an officially provided plug-in that can provide code editor syntax highlighting, code prompts, auto-completion, debugging and other functions. Search for the Python plug-in in VSCode to find it and install it.

Pylance

Pylance is a Python static type checking plug-in developed by Microsoft, which can provide more accurate code prompts, error checking and other functions. After installing the plug-in, you need to enable Pylance in the settings of VSCode, and then restart VSCode to take effect.

Jupyter

The Jupyter plug-in can run Jupyter Notebook directly in VSCode, making it convenient for programmers to perform interactive programming and data analysis. After installing the plug-in, you need to install the Jupyter extension in VSCode, and then you can run Jupyter Notebook in VSCode.

Python Extension Pack

This extension pack packages some of the most popular (and my favorite) Python extensions. Python - Linting, debugging (multi-threaded, remote), Intellisense, code formatting, refactoring, unit testing, code snippets, data science (using Jupyter), PySpark, etc.

1. Jinja - Jinja template language support for Visual Studio Code.

2. Django - Beautiful syntax and scoped snippets for perfectionists with deadlines.

3. Visual Studio IntelliCode - Provides AI-assisted productivity features for Python developers in Visual Studio Code, with insights based on code understanding combined with machine learning.

4. Python Environment Manager - Provides the ability to view and manage all Python environments and packages from one place.

5. Python Docstring Generator - Quickly insert Python comment blocks containing context-inferred parameters for classes and methods based on multiple optional template patterns.

6. Python indentation - Fix Python indentation in Visual Studio Code.

7. Jupyter - Provides Jupyter Notebook support for the Python language for data science, scientific computing and machine learning.

GitLens

GitLens is a Git code management plug-in that can provide code history, branch management, code comparison and other functions. After installing the plug-in, you can easily manage your Git code base in VSCode.

Code Runner

Code Runner can run Python scripts directly in VSCode without switching to the command line window. After installing the plug-in, you can use Code Runner to run Python scripts directly in VSCode.

IntelliCode

IntelliCode is an intelligent code prompt plug-in developed by Microsoft that uses machine learning technology to provide more accurate code prompts and automatic completion. After installing the plug-in, you can improve the efficiency and accuracy of code writing.

Bracket Pair Colorizer

Bracket Pair Colorizer Bracket Pair Colorizer can color-mark the brackets in the code to facilitate programmers to match brackets. After installing the plug-in, you can see the color marking of code brackets directly in VSCode. (vscode is already built-in)

Python Preview

Python Preview is a Python code preview plug-in for VSCode, which can convert Python code into beautiful HTML pages and preview them in the browser . Through this plug-in, programmers can conveniently preview the running results and effects of Python code in VSCode, improving the efficiency and readability of code development.

Python Indent

Python Indent is a Python indent plug-in for VSCode, which can automatically adjust the indentation of Python code and keep the format of the code consistent. Python indentation is an important part of Python syntax. Correct indentation can improve the readability and maintainability of the code, making the code easier to understand and modify.

The above are 10 commonly used VSCode plug-ins for Python programmers, which can improve the efficiency and quality of code development, allowing programmers to develop high-quality code faster and more accurately. Through the use of these plug-ins, you can better manage code, test code, debug code, optimize code, and improve the readability and maintainability of the code.

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