sourcery
pyupgrade
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sourcery | pyupgrade | |
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13 | 23 | |
1,481 | 3,326 | |
0.9% | - | |
6.3 | 7.9 | |
13 days ago | 20 days ago | |
Python | ||
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sourcery
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Ask HN: How do you get an open-source product noticed by developers?
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.
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Google Python Style Guide
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/
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What are the best Python libraries to learn for beginners?
During development, tools like Sourcery could show you improvements for code quality.
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Quick wins in improving your Python codebase health
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.
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git client for kde (gitklient)
"Sourcery" exists
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Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms
Looks downright wicked https://sourcery.ai/
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Create file if it doesn't exist, as well as its folders?
As a bit of trivia, https://sourcery.ai/ will replace
- Is there a linter which would suggest using elif rather than an else in an if clause?
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[lspconfig] The Authentication token must be provided
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.
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Tools to write clean Go code
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?
pyupgrade
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
pyupgrade and flynt are examples of tools that modify your code base from earlier python versions into the newest python syntax, rewriting all string formats into f-strings and similar things.
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Conversion from the f-string literals to format method in python
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
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Which is your favourite or go-to YouTube channel for being up-to-date on Python?
He made yesqa and pyupgrade (among others), and also works on flake8. His main job is for https://sentry.io/.
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Reasons Python Sucks
That's a decade to make a 30 second change. Add something like https://github.com/asottile/pyupgrade to your pre-commit hooks and you won't even need 25 of those seconds.
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Is there a way to convert python 2 to 3 without finding every single line and fix it?
There is also pyupgrade: https://github.com/asottile/pyupgrade
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I've recently learned about better support for type-hinting. What other 'best practices' have been introduced in Python 3.10 or newer?
pyupgrade is a useful tool that can help you find some of these things.
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Flake8 took down the gitlab repository in favor of github
and last a little plug or two -- because I do this all for free and despite millions benefiting I receive zero proportional benefit from the maintenance work I put in -- consider sponsoring or maybe check out pre-commit.ci which would have automatically fixed this problem for you a year and a half ago
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Django upgrade services?
Running https://github.com/adamchainz/django-upgrade with https://github.com/asottile/pyupgrade recursively will give an idea about how much work is there on Django side. Still, there may have dependency on third party libraries (both django+python). Another thing to consider is which role Django performing here, serving APIs or html views. As good test coverage is already there, you are on lucky side.
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It’s Time to Say Goodbye to These Obsolete Python Libraries
Such goodness here and even points to an interesting project I’d never heard of for automated “de-deprecation”
https://github.com/asottile/pyupgrade
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Is there a linter which would suggest using elif rather than an else in an if clause?
I do would like to recommend pyupgrade. Just pip install as expected and then run pyupgrade --py310-plus to drag your code kicking and screaming into $CURRENT_YEAR. Or at least into whatever version you're using :)
What are some alternatives?
jedi - Awesome autocompletion, static analysis and refactoring library for python
pre-commit-hooks - Some out-of-the-box hooks for pre-commit
pylsp-rope - Extended refactoring capabilities for python-lsp-server using Rope
flynt - A tool to automatically convert old string literal formatting to f-strings
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
black - The uncompromising Python code formatter
ruff - An extremely fast Python linter and code formatter, written in Rust.
pep585-upgrade - Pre-commit hook for upgrading type hints
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
autoflake - Removes unused imports and unused variables as reported by pyflakes
study-path - An organized learning path on Clean Code, Test-Driven Development, Legacy Code, Refactoring, Domain-Driven Design and Microservice Architecture
black - The uncompromising Python code formatter [Moved to: https://github.com/psf/black]