12 VSCode Tips and Tricks for Python Development

—— Make VSCode More Efficient, Reduce Manual Operations

Introduction

Visual Studio Code (VSCode) is one of the most popular integrated development environments (IDEs) for Python development. It runs quickly and has a wealth of features that make the development process easier and more enjoyable.

The Python extension for VSCode is one of the key reasons I chose it as my primary development tool. It provides features such as syntax auto-completion, code checking (linting), unit testing, Git integration, debugging, Jupyter notebooks, editing tools, and can automate most tasks. Compared to manual operations, you can complete tasks using keyboard shortcuts or by clicking a few buttons.

In this article, we will learn how to make the most of VSCode to enhance Python development efficiency.

Note: If you are new to VSCode and want to learn the basics, you can read the “Setting Up VSCode for Python Development” tutorial to understand the key features.

1. Command Line Operations

You can use command line (CLI) commands to launch VSCode from the terminal or Bash:

Open VSCode in the current directory: code .
Open VSCode in the current directory (recently used window): code -r .
Create a new window: code -n
Open the file diff comparison tool in VSCode: code --diff <file1> <file2>

2. Command Palette

You can access all available commands and shortcuts through the Command Palette.

Use the shortcut Ctrl+Shift+P to open the Command Palette, then enter relevant keywords to access specific commands.

3. Keyboard Shortcuts

Compared to the Command Palette, keyboard shortcuts can further enhance efficiency.

You can modify shortcuts according to your personal needs or refer to the shortcut reference sheet to learn the default shortcuts.
Using shortcuts directly can save time by avoiding scrolling through the Command Palette to find commands.

4. Quick Access to Errors and Warnings

Use Ctrl+Shift+M to quickly access the list of errors and warnings.
Use F8 or Shift+F8 to toggle between different errors and warnings.

5. Fully Customizable Development Environment

VSCode allows you to customize themes, icons, shortcuts, debugging settings, fonts, linting, and code snippets, and you can even create your own plugins to extend functionality.

6. Extensions

The Python extension for VSCode can optimize the development experience and improve efficiency.

In addition to boosting productivity, VSCode extensions can enhance visual effects.
Many popular Python extensions provide charts, interactive GUIs, and other features to make development more intuitive.

Recommended Reading: “12 Essential VSCode Extensions for Data Science”, which can transform VSCode into a super application, allowing you to complete all data science tasks without leaving VSCode.

7. Jupyter Notebook Integration

The Jupyter Notebook extension is one of the most important tools for data analysis and machine learning development.

This extension is strongly recommended for data scientists for data experimentation and writing production-level code.

8. Multi-Cursor Selection

When you need to edit multiple identical instances, multi-cursor selection can significantly improve efficiency.

Add multiple cursor points: Alt+Click
Add cursor above: Ctrl+Alt+Up
Add cursor below: Ctrl+Alt+Down
Select all occurrences of the current word: Ctrl+Shift+L

9. Find and Replace

VSCode provides powerful find and replace functionality, suitable for modifying variables, parameters, etc.

Rename variables or functions: Select the variable and press F2 to rename.

10. Built-in Git Integration

VSCode has built-in Git support, allowing you to perform Git operations through the GUI without typing Git commands in the command line.

You can view commit history, compare file differences, create branches, etc., making it simpler than GitHub Desktop.

11. Code Snippets

Code snippets are similar to auto-completion, but you can customize repetitive code patterns.

For example, you can create a shortcut to quickly insert a Python function without manually typing the full code each time.
Create code snippets: Open File > Preferences > Configure User Snippets, then select the language to configure.

12. GitHub Copilot

Many people are talking about ChatGPT’s code suggestion feature, but GitHub Copilot has been around for two years and is continuously optimized.

GitHub Copilot is based on GPT-3, which can intelligently understand the user’s coding habits and automatically suggest lines of code or complete functions, enhancing programming efficiency.

Conclusion

VSCode has a wealth of powerful features that can enhance Python development efficiency. By mastering these tips, you can reduce unnecessary manual operations and focus more on writing code.

Recommended 12 VSCode Tips:

Command Line Operations — Launch VSCode directly using CLI commands
Command Palette — Quickly access all available commands
Keyboard Shortcuts — Use shortcuts to execute commands directly, improving efficiency
Errors and Warnings — Quickly find errors and warnings in your code
Customizable Development Environment — Modify themes, icons, shortcuts, etc.
Extensions — Enhance functionality through Python extensions
Jupyter Notebook — Essential extension for data science work
Multi-Cursor Editing — Simultaneously modify multiple identical code snippets
Find and Replace — Quickly modify variables, parameters, etc.
Git Integration — Perform Git operations through the GUI without using the command line
Code Snippets — Define code templates to speed up coding
GitHub Copilot — Use AI to assist in coding

What are your favorite VSCode tips? Feel free to share your experiences! 🚀