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pip-tools reviews and mentions
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lockfiles for hatch projects
For all my projects I found myself regenerating manual lock files using complex shell commands with pip-compile to get a reproducible environments across devices using a custom pre-install-command. I finally decided that instead of hacking together the same solution on all my projects I would build a plugin that handles this complexity for me.
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Setting up Django in a Better Way in 5 Minutes and Understanding How It Works
Instead of venv, we are using pip-tools in this starter kit. pip-tools take things further in dependency management. Check out what pip-tools does in their official GitHub repo. In short, it helps your project find the best match for the dependent packages. For example, you might need two packages A and B in your project that requires same package C under the hood. But A requires any version of C from 1.0.1 to 1.0.10 and B requires any version of C from 1.0.7 to 1.0.15. Pip tools will automatically compile the version of 'C' that suits for both of your packages.
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just-pip-tools: An example of managing python dependencies as layered lock files with just and pip-tools
I've created a small project called just-pip-tools that combines pip-tools and just to manage Python dependencies in a layered approach. This isn't a magic bullet; it's a set of files you can adapt to your needs.
- Single-file scripts that download their dependencies
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What are people using to organize virtual environments these days?
pip-tools
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How to know what a package depend on when pip is installing it?
I recommend generating a lockfile to document this information, as you might do with pip-tools.
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A not so unfortunate sharp edge in Pipenv
Check out pip-tools [1] which does exactly that, albeit in a slightly more polished way.
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Show HN: Panoptisch – A recursive dependency scanner for Python projects
I've been using pip-compile from https://github.com/jazzband/pip-tools for this use case; a standard project Makefile defines "make update" which pip-compiles the current requirements, and "make install" installs the frozen requirements list.
This way I can install the same bill of materials every time
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Vent: I'm tired of the 1001 libraries of virtual environments.
I like pip-tools for this use case—it lets you write a separate requirements file with “loose” dependencies, which then gets compiled to a requirements.txt with pinned version numbers (it essentially becomes your “lock” file). It also supports layered dependencies, which allows you to create “dev dependencies”.
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Chatting with Sebastian Witowski - Part I: Code Standards, Tooling, and Working in Teams
So what I learned some time ago is to strike a balance. And the talk that you mentioned shows three tools that I use almost on all my projects: pyenv, virtualenvwrapper, and pipx. They have been working for years. They will still work for years in the future. I've also been using pip-tools since I don't remember when and I think it will still be supported in the future.
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A note from our sponsor - InfluxDB
www.influxdata.com | 9 Dec 2023
Stats
jazzband/pip-tools is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of pip-tools is Python.