flake8-comprehensions
click
flake8-comprehensions | click | |
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2 | 32 | |
462 | 15,087 | |
- | 1.1% | |
8.2 | 8.0 | |
7 days ago | 9 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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flake8-comprehensions
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Python toolkits
flake8-comprehensions for writing better list/set/dict comprehensions.
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Found out that using dict() instead of {} has a performance impact. Is there a way to transform every call of dict() to use {} in a automated way? codemod or pre-commit?
Found https://github.com/adamchainz/flake8-comprehensions.
click
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click-web: Serve click scripts over the web (Python)
Context: "click" - "Command Line Interface Creation Kit" - easily create CLIs from Python code, via adding decorators: https://github.com/pallets/click
"click-web" in turn turns the click CLI app into a web app with one line of code.
- Anyone want to start a project with me.
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How does "python3 *file* -*letter* work?
there is also click, it is more straight forward and also nice to keep the relevant code where the code is. https://github.com/pallets/click/
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Overhead of Python Asyncio Tasks
I don't have huge experience with Python, but I used async code with C#/Typescript and lately I had to use some asyncio magic.
I found this article: https://blog.dalibo.com/2022/09/12/monitoring-python-subproc... and while async/await syntax is the same, it's not entirely clear for me, why there's some event loop and what exactly happens, when I pass function to asyncio.run(), like here: https://github.com/pallets/click/issues/85#issuecomment-5034...
So, you can use it and it's not that hard, but there are some parts that are vague for me, no matter which language implements async support.
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I am sick of writing argparse boilerplate code, so I made "duckargs" to do it for me
Hmm… did you try such approaches, as [click](https://github.com/pallets/click) or[tap](https://github.com/swansonk14/typed-argument-parser)?
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lord-of-the-clips (lotc): CLI app to download, trim/clip, and merge videos. Supports lots of sites. Downloads/trims at multiple points. Merges multiple clips.
This app leverages these powerful libraries: - yt-dlp: video downloader - moviepy: video trimmer/merger - click: CLI app creator - rich / rich-click: CLI app styler
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Shells Are Two Things
I've used click [1] a lot to build Python tooling scripts the past few years. Click usage is "sort of" similar to the author's proposed solution. There's also a small section here [2] that describes some of the issues covered in the article (in context of argparse).
[1] - https://github.com/pallets/click
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Tomu – A family of devices which fit inside your USB port
I think the success of Arduino in the hardware world can be explained in a similar way, as the relative success of "command line app frameworks" like Click[1], or even much lighter-weight libraries like argparse[2]. You absolutely can get away with using just getopt[3] (and people experienced with it will likely strongly prefer it). However certain factors such as a more declarative API, a nice logo, the existence of an ecosystem (even if you're not actively drawing from it), an official "branded" forum, etc can all play into picking a more complex solution, with more baggage you don't need, certain oddities that may throw users off, etc.
[1]: https://click.palletsprojects.com/
[2]: https://docs.python.org/3/library/argparse.html
[3]: https://man.openbsd.org/getopt.3, https://linux.die.net/man/3/getopt
- something like python's click library?
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Advice for a final project in python without web?
Exactly! You can also use a library like click (https://github.com/pallets/click) to help take care of the command line side, while you focus on the 'business logic' of your application :)
What are some alternatives?
flake8-bandit - Automated security testing using bandit and flake8.
typer - Typer, build great CLIs. Easy to code. Based on Python type hints.
PEP 8 Speaks - A GitHub :octocat: app to automatically review Python code style over Pull Requests
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
tensorflow - An Open Source Machine Learning Framework for Everyone
cement - Application Framework for Python
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
cliff - Command Line Interface Formulation Framework. Mirror of code maintained at opendev.org.
docopt - This project is no longer maintained. Please see https://github.com/jazzband/docopt-ng
clint - Python Command-line Application Tools