bookmarks-cli
pipx
bookmarks-cli | pipx | |
---|---|---|
1 | 38 | |
0 | 8,913 | |
- | 3.7% | |
0.0 | 9.3 | |
almost 2 years ago | about 15 hours ago | |
Python | Python | |
- | MIT License |
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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.
bookmarks-cli
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Pipx: A python package consumption tool for CLI packages
This is my shameless plug of installing my first python package. The command used for the CLI is totally not related to the package name and hence we have to use the --spec option.
pipx
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Keep your AWS CLI config fresh with Cog
Use pipx to install Cog and my aws-sso-config-builder tool in the same environment:
- pipx
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Implementing Quality Checks In Your Git Workflow With Hooks and pre-commit
Given how useful pre-commit is across projects I generally recommend installing via pip install --user, making it part of a tooling virtual environment, or using pipx:
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pipx VS instld - a user suggested alternative
2 projects | 9 Dec 2023
- Pipx – Install and Run Python Applications in Isolated Environments
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Packaging a self contained CLI application for any environment?
I would recommend going with PipX. You toss in a setup.py file, put your project on github, and then anyone on any OS can pipx install your project. It's a glorious thing. The only thing they need is 1) some supported version of Python installed, 2) pipx installed. They can even get updates by calling pipx upgrade.
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Some confusion with system version and pyenv
See https://github.com/pypa/pipx/issues/278
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List of software package management systems
Good overview. There are quite a few on there I was not aware of. That said, I am not sure the organizational schema makes a tone of sense. I would assume most users that come across this would be looking for a package manager for a specific platform and then weighing the options of binary/source/etc., instead of the other way around.
Also, pipx (https://github.com/pypa/pipx) would be a good addition to the list. I'd add it but I'm not sure where it would go. Maybe every section? It's cross platform and handles both binary and source based app distributions.
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After using Python for over 2 years I am still really confused about all of the installation stuff and virtual environments
Pip is pretty simple and useful for me - you have your own environment for every script/program, requirements.txt is simple to understand too... It's kinda good solution for regular users... For more complex projects we have Poetry, PipX, that was inspired by NPM(x), I think...
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Apple Unveils MacBook Pro Featuring M2 Pro and M2 Max
What benefit would joining your cult bestow upon me that brew does not already?
My brew list is intentionally very short and my faffing about desire is limited.
Generally I use brew to pull in asdf (https://github.com/asdf-vm/asdf) to install programming languages/tooling, it works flawlessly.
I use Pipx (https://github.com/pypa/pipx) to install python thingies (such as yt-dlp) as a cli. Go and Rust handle binaries in their languages beautifully and without issues.
What are some alternatives?
pytest - The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Poetry - Python packaging and dependency management made easy
jut - Render Jupyter notebook in the terminal
opstrat - Option visualization python package
markata - A plugins all the way down static site generator written in python. Plugins all the way down means that you can completely change the behavior of how it works by swapping plugins, installing new ones, or creating your own all in python.
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
dust - A more intuitive version of du in rust
private-pypi - private pypi server
Pyjion
translate-shell - :speech_balloon: Command-line translator using Google Translate, Bing Translator, Yandex.Translate, etc.
monkeytype - The most customizable typing website with a minimalistic design and a ton of features. Test yourself in various modes, track your progress and improve your speed.
cinder - Cinder is Meta's internal performance-oriented production version of CPython.