But in my experience, I find that this extension works better because it scans your code using AI and then does a better job with autocomplete than the Python extension from Microsoft. As you might have noticed, the first extension on this list also contains IntelliSense. This is a standalone extension that provides AI-assisted IntelliSense. Third-party libraries have support for type stub generation.Automatically reorder imports in your code according to PEP8 rules.Quickly find or rename all references to a symbol within a codebase.Quickly find the location of the symbol’s definition when you click on the hover over the symbols.Show docstrings and type information when you hover over symbols.Automatically insert import statements for type completions when necessary.
Intelligent type completion of keywords, symbols and import names.This extension includes the following features: If you manage a large codebase in Python a linting tool like Pylint could be quite heavy. Pyright is an incredibly fast static type checker and code validator. Easily switch Python environments within the editor.Support for Jupyter Notebooks, Pytest, and Unittests.IntelliSense support for auto-completion, code navigation, and formatting.Debugging your code within the VS Code editor.Linting for your code with Pylint or Flake8 support.This VS Code extension published by Microsoft has rich support for Python. Several more extensions may be good that aren’t on this list, but these are ones that I use frequently and would recommend. This list includes the 10 best VS Code extensions that help you develop applications and code faster using Python. So I’ll share the extensions that I use on a daily basis in this article. I couldn’t find a lot of relevant information about VS Code extensions that are being used by Python developers. As a Cloud Engineer or Data Scientist, you need the right tools to do the right job. Whether you’re automating infrastructure in the Cloud or creating Jupyter notebooks.