Whether you’re automating infrastructure in the Cloud or creating Jupyter notebooks. As a Cloud Engineer or Data Scientist, you need the right tools to do the right job. I couldn’t find a lot of relevant information about VS Code extensions that are being used by Python developers. So I’ll share the extensions that I use on a daily basis in this article.
This list includes the 10 best VS Code extensions that help you develop applications and code faster using Python. Several more extensions may be good that aren’t on this list, but these are ones that I use frequently and would recommend.
List of 10 best VS Code extensions
- 1. Python by Microsoft
- 2. Pyright
- 3. Visual Studio IntelliCode
- 4. Sort lines
- 5. Indenticator
- 6. Indent rainbow
- 7. Bracket Pair Colorizer 2
- 8. Git Graph
- 9. Git Lens
- 10. Dash
- End of the VS Code extensions list!
This VS Code extension published by Microsoft has rich support for Python. It contains the following features:
- Linting for your code with Pylint or Flake8 support
- Debugging your code in within the VS Code editor
- IntelliSense support for auto-completion, code navigation, and formatting.
- Support for Jupyter Notebooks, Pytest, and Unittests
- Easily switch Python environments within the editor
Pyright is an incredibly fast static type checker and code validator. If you manage a large codebase in Python a linting tool like Pylint could be quite heavy. This extension includes the following features:
- Intelligent type completion of keywords, symbols and import names
- Automatically insert import statements for type completions when necessary
- Show docstrings and type information when you hover over symbols
- Quickly find the location of the symbol’s definition when you click on the hover over the symbols.
- Quickly find or rename all references to a symbol within a codebase
- Automatically reorder imports in your code according to PEP8 rules.
- Third-party libraries have support for type stub generation
This is a standalone extension that provides AI-assisted IntelliSense. As you might have noticed, the first extension on this list also contains IntelliSense. 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.
Like the name suggests it sorts lines of text. This can be handy if you import a lot of libraries in your scripts and don’t want to reorganize it manually. if you want to have them in alphabetical order for example. To invoke the Sort lines functionality press
F1 and type sort and it will automatically list the options to sort your lines. My most used sort function when I code in Python is
Natural which Sorts alphabetically but groups multi-digit numbers.
Next up we have Indenticator. This VS Code extension allows you to set up your preferred indentation for each of your programming languages separately. The benefit of having this enabled is that you can easily see where for loops or if statements end within your code.
Indent rainbow adds colors to your indents which makes readability even better, especially in a dark background like in VS Code. Combine this with Indenticator to improve the reading fluency of your code. You have the option to customize the indent colors to your liking.
This is the new and improved version of Bracket Pair Colorizer. It has improved speed and accuracy compared to v1. This VS Code extension allows you to colorize the brackets in your code so you can easily identify which brackets belong to each other. Whenever I review JSON files for example (which contains a lot of brackets), this tool makes validating the file a lot quicker.
If your working with code I assume you use a repository to safely store it. Git graph adds another dimension to the way you use VS Code. It adds a nice user interface of your Git history and adds the ability to create/checkout new branches with the click of a button.
I use it mostly to get a quick overview of which branches my teammates are working on. The same can be accomplished through the CLI, but I love being able to stay within the editor.
This extension has at the time of writing already has more than 5 million downloads! This extension is not only a game-changer it makes sure you use Git in other ways you normally wouldn’t have used it within your CLI. As the creator of this plugin states:
GitLens supercharges the Git capabilities built into Visual Studio Code. It helps you to visualize code authorship at a glance via Git blame annotations and code lens, seamlessly navigate and explore Git repositories, gain valuable insights via powerful comparison commands, and so much more.
Their feature list is very comprehensive, if you want to see what it can do, please check out their readme on the VS Code marketplace. I’ll share 2 of my favorite features.
Git blame shows author metadata attached to specific committed lines in a file. This is handy if you work with multiple people on the same files and see who modified a piece of code. But instead of running git blame -L 1,5 in your terminal to see who did a modification on lines 1 to 5, you immediately see the line modification in VS Code using Git Lens.
The details hover feature allows you to see git blame on the current line of code when you hover your mouse over it. Second, to that it provides a quick access command bar that allows you to change to the previous commit revision, open changes, do diffs, and showing commit details.
This is absolutely a necessary extension when you need to refer to the official Python documentation while you’re coding.
Dash is an API Documentation Browser and Code Snippet Manager. Dash instantly searches offline documentation sets for 200+ APIs, 100+ cheat sheets, and more. You can even generate your own docsets or request docsets to be included.
This VS Code extension allows you to invoke Dash from the editor. So if you need to get more information about Classes, Functions, or Types you highlight the code and press
ctrl + h to access the official documentation offline. If you compare this to going in the browser and visiting the official documentation website to search for the API, it goes a lot quicker doing it offline.
The benefit of having your docs offline is that you don’t need to have internet access in order to start coding and looking up references. Finding pages that are stored locally can be accessed way quicker than trying to google and needing to find the specific thing you’re looking for. These benefits boost your productivity and allow you to focus more on the coding part.
Hopefully, this list helps you speed up your coding journey in the Cloud! If you’re an avid CloudFormation user, I would recommend you to have a look at my other article! It contains a list of VS Code extensions and CLI tools specifically for CloudFormation to speed up development time.