Essential VS Code Extensions for Python

Nov 28, 2024

Top VS Code Python Extensions

Introduction

  • Presenter: Jeremy
  • Channel Focus: Enhancing developer skills with modern tools and techniques.
  • Purpose of Lecture: Introduce essential VS Code Python extensions.

1. Python Extension by Microsoft

  • Importance: Essential for any Python developer using VS Code.
  • Installation:
    • Navigate to the activity bar and click on extensions.
    • Search for "Python" and install the official extension by Microsoft.
  • Features:
    • Auto-installs PyLance and Python Debugger.
    • Provides a beaker icon for testing.
    • Allows changing the interpreter directly from VS Code.
    • IntelliSense for auto-completing modules.
    • Supports debugging with breakpoints.

2. Jupyter Extension

  • Audience: Popular among Python developers who use Jupyter notebooks.
  • Features:
    • Run notebooks within VS Code.
    • Supports switching between different Python kernel versions.

3. Auto Docstring

  • Purpose: Automatically generates docstrings in Python files.
  • Usage:
    • Type three double quotes to trigger the generation.
    • Fill out details like summary, parameters, and returns.

4. Python Test Explorer

  • Function: Simplifies running tests from the VS Code sidebar.
  • Setup:
    • Configure Python tests using the built-in test explorer.
    • Supports automatic test running upon file changes.

5. Code Spellchecker

  • Function: Checks source code for spelling errors.
  • Features:
    • Highlights spelling mistakes with suggestions for correction.
    • Works on strings and variables.

6. CodeRunner

  • Purpose: Execute code snippets quickly within VS Code.
  • Configuration for Mac: Change the executor map to use Python 3.
  • Usage:
    • Run selected code or the entire file with shortcuts.

7. Python Environment Manager

  • Function: Manages Python environments in VS Code.
  • Features:
    • View and manage workspace and global environments.
    • Install, refresh, update packages, and create new environments.

8. AREPL for Python

  • Purpose: Real-time evaluation of Python code.
  • Features:
    • Displays code output and variable values as you type.
    • Ability to filter out unwanted variable outputs.
  • Customization:
    • Adjust execution delay in settings.

9. Python Snippets

  • Function: Provides a collection of Python snippets for quick insertion.
  • Usage:
    • Access snippets via the command prompt.

10. Error Lens

  • Function: Highlights errors and warnings directly in the code editor.
  • Features:
    • Immediate visual feedback for errors such as indentation issues.

Conclusion

  • Recommendation: These extensions enhance Python development in VS Code.
  • Further Learning: Watch a video about the command palette feature.
  • Newsletter: Weekly newsletter available for more content insights.

  • Note: Information is provided to enhance development workflow and productivity in VS Code when working with Python.