sourcery VS awesome-python

In my experience, the developer tools that really catch on do so via word of mouth. For example, our whole team recently adopted https://sourcery.ai/ (not an ad) because one developer tried it and hyped it up to everyone else who also liked it.

To those that wish to automate a subset of these conventions, there is a tool called Sourcery[1] that I, personally, am a huge fan of! Not only does it have a large set of default rules[2], but it can also allow you to write your own rules that may be specific to your team or organization, and as mentioned it can enable you to follow Google's Python style guide as well[3].

There are some refactorings that Sourcery suggest that I don't agree with myself, namely the usage of 'contextlib.suppress'[4] as I don't like to introduce an additional 'import' statement just to do something so trivial. I wish Sourcery would add the relevance of having possibly too many 'import' statements as a heuristic.

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[1]: https://sourcery.ai/

[2]: https://docs.sourcery.ai/Reference/Default-Rules/ (expand the sub-pages)

[3]: https://docs.sourcery.ai/Reference/Optional-Rules/gpsg/

During development, tools like Sourcery could show you improvements for code quality.

One of the first tools I install when setting up my Python dev environment is Sourcery. This still uses AI/ML to suggest code improvements to your Python code, but unlike GitHub's Copilot, it won't write code for you.

"Sourcery" exists

Looks downright wicked https://sourcery.ai/

As a bit of trivia, https://sourcery.ai/ will replace

I guess you have to signup in their website sourcery.ai. I actually don't use sourcery, I don't know the details on how to get the token.

When I'm writing Python, one of my favorite tools is [Sourcery](https://sourcery.ai/). Are there any similar tools for Go? What else do you recommend?

Python: https://github.com/vinta/awesome-python

6) Awesome Python: Embrace the power of Python with this extensive collection of awesome libraries, frameworks, resources, and software. Whether you're a seasoned Pythonista or just starting your journey, this repository is your ultimate guide to maximizing the potential of this versatile language. (https://github.com/vinta/awesome-python)

- https://github.com/vinta/awesome-python

🎇 Repository Link: Awesome Python

Explore here.

I know of curated lists like https://github.com/vinta/awesome-python but they are nowhere close to alternativeto.net in terms of information (relations) and community involvement.

https://github.com/vinta/awesome-python

There are a lot of python packages for engineering and scientific applications (as well as other applications in general, and, thanks to the inherently collaborative nature of free software, they are only growing in quantity and quality. Many MATLAB toolboxes already have Python equivalents.