Table of Contents
1. Refactor your Python code in real time: Sourcery
2 . Mark a certain line for jumping, equivalent to the bookmark function: Bookmarks
3. Rest API client: Thunder Client
4. Hover to view the document: Docs View
5. Code Search: Sourcegraph
6. AI helps you write notes: AI Doc Writer
7. View file size: filesize
8. Explain the code: Krinql
9. GistPad
10. Generate beautiful code screenshots: CodeSnap
11. Automatic completion: Visual Studio IntelliCode
12. Automatic real-time evaluation of Python code: AREPL for Python
13. Check the Python code in real time: Wolf
14. Add the Gather function to the Jupyter extension
Home Backend Development Python Tutorial Use VSCode to write Python, these 14 plug-ins are not to be missed!

Use VSCode to write Python, these 14 plug-ins are not to be missed!

May 24, 2023 pm 05:19 PM
python vscode plug-in

用 VSCode 写 Python,这14个插件不容错过!

It can be said that Visual Studio Code, the editor, has allowed Microsoft to win back the king position in the open source community. You must know that 14 million of the 24 million developers in the world call VSCode their home. , coupled with the combination of GitHub and VSCode, almost all programmers cannot do without VSCode. However, VSCode is so good that it is worth using by every programmer. I even think non-programmers can use it to code.

If you haven’t used VSCode yet, then visit here to install one [1]. It may open up a new world.

Today I share 14 very practical VSCode plug-ins that can make you write code like a god, especially Python code.

In view of the lightweight nature of VSCode, old users don’t have to worry about performance problems caused by installing “too many” extensions. If you want to do your job well, you must first sharpen your tools, so feel free to install it!

1. Refactor your Python code in real time: Sourcery

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

When you write Python code, it will Help you improve your code in real time. It automatically reviews and refactors your code so you can spend more time focusing on writing new code and less time cleaning up. Can make your Python code cleaner and more readable.

Use it to quickly find areas where your code can be refactored, see immediate suggestions for improvements, and understand how new changes affect code quality.

Main functions:

  • Real-time refactoring suggestions
  • Continuous code quality feedback
  • Multiple file analysis
  • Duplicate code Detection
  • GitHub Pull Request Comments
  • Sourcery CLI, CI and Pre-Commit Hook options

Click here to install Sourcery[2]

2 . Mark a certain line for jumping, equivalent to the bookmark function: Bookmarks

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

  • New sticky engine
  • Add virtual workspace support
  • Add workspace trust support
  • Comprehensive remote development support
  • Add cross-platform support
  • Improved sidebar Availability

Click here to install Bookmarks[3]

3. Rest API client: Thunder Client

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

Although it is called Thunder, it has nothing to do with Thunder. Its name is Thunder Client, which is a lightweight Rest API client for Visual Studio Code. It is handmade by Ranga Vadhineni and has a simple and clean design.

So, you can uninstall the bloated PostMan.

Click here to install Thunder Client[4]

4. Hover to view the document: Docs View

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

用 VSCode 写 Python,这14个插件不容错过!

Place the cursor on a function or class to display related documents in the sidebar or panel

Click here to install Docs View[5]

5. Code Search: Sourcegraph

Results Demonstration:

用 VSCode 写 Python,这14个插件不容错过!

Sourcegraph’s code search allows you to quickly find and fix content in all your code.

With it, you can search millions of open source repositories for free directly from the VS Code IDE. Learn from useful code examples, search for best practices, and reuse code from millions of repositories in the open source universe.

Additionally, with a free Sourcegraph Cloud account, you can sync your private and public repositories and search all your code in a single view in VS Code.

Sourcegraph’s code intelligence features provide fast cross-repository navigation with Go to Definition and Find References features to quickly understand new code and find answers in codebases of any size.

Click here to install Sourcegraph[6]

6. AI helps you write notes: AI Doc Writer

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

Just select the function code and press a shortcut key to automatically generate comments for the method, which can be used to generate function documents. Let artificial intelligence help you write comments in the previous article. Support for Python has been introduced.

Click here to install AI Doc Writer[7]

7. View file size: filesize

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

It displays the size of the focused file in the editor's status bar, and if you click on the status bar component it will display more information about the file.

Click here to install filesize[8]

8. Explain the code: Krinql

If you don’t understand the code, you can ask Krinql to answer, or let it write document characters String:

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

Krinql lets you write better code, super fast. It solves the boring parts of writing code, such as writing docstrings. It can also find how to use libraries and automate them in the VS Code editor itself.

Click here to install Krinql[9]

9. GistPad

GistPad allows you to edit GitHub Gists and repositories directly in VSCode. Repositories and repositories can be opened, created, deleted, forked, and starred, then seamlessly start editing files like local files without having to clone, push, or pull anything. It's like your own developer library for building and referencing code snippets, commonly used configurations/scripts, programming related notes, knowledge base, and interactive examples.

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

Click here to install GistPad[10]

10. Generate beautiful code screenshots: CodeSnap

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

Click here to install CodeSnap[11]

11. Automatic completion: Visual Studio IntelliCode

Effect display :

用 VSCode 写 Python,这14个插件不容错过!

Click here to install Visual Studio IntelliCode[12]

12. Automatic real-time evaluation of Python code: AREPL for Python

Effect display :

用 VSCode 写 Python,这14个插件不容错过!

Click here to install AREPL for Python[13]

13. Check the Python code in real time: Wolf

In other words , you can experience the WYSIWYG experience in the Python interpreter in VSCode, which is functionally similar to AREPL for Python.

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

Click here to install Wolf[14]

14. Add the Gather function to the Jupyter extension

You must have used the Jupyter extension. This plug-in should be used with Jupyter:

用 VSCode 写 Python,这14个插件不容错过!

Effect display:

用 VSCode 写 Python,这14个插件不容错过!

用 VSCode 写 Python,这14个插件不容错过!

Click here to install Gather[15]

The above is the detailed content of Use VSCode to write Python, these 14 plug-ins are not to be missed!. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

How to run python with notepad How to run python with notepad Apr 16, 2025 pm 07:33 PM

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

Golang vs. Python: Performance and Scalability Golang vs. Python: Performance and Scalability Apr 19, 2025 am 12:18 AM

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

How to run sublime code python How to run sublime code python Apr 16, 2025 am 08:48 AM

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

See all articles