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A comment on Use `Python -m Pip`. Parent comment

Re:Use `Python -m Pip` by gernb on Wednesday July 20, 2022 @02:34AM (#32162255)
Could you please link to your favorite way to install python at specific version and all dependencies without have to put anything in a global place. Ideally on MacOS (since it's what I'm on most). I don't have homebrew or macports since eventually those always lead to me getting a borked system since they want everything installed globally.
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Re:Use `Python -m Pip` by takeda on Wednesday July 20, 2022 @02:54AM (#32162404)
Not the GP, but I became a big fan of using poetry for managing python package dependencies.

For managing python itself and binary libraries I started using Nix package manager.

It allows to describe all dependencies via code, but with time that code became a boilerplate, so I created this: https://github.com/takeda/nix-cde

It works very well for me so far.

You do need to have Nix[1] installed, but hopefully that should be the only thing needed and everything you can just list in project.nix file (in the example in README.md you should have access to `dive` command even if you never installed it on your system). Which will make it available only for that project.

Here's also an example of a very simple project: [2]

[1] https://nixos.org/download.html#nix-install-macos

[2] https://github.com/takeda/nix-cde/tree/master/tools/aws_assu...

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Re:Use `Python -m Pip` by Hackbraten on Wednesday July 20, 2022 @03:01AM (#32162433)
Not OP but anecdotally, this is how my workflow looks like:

1. Install pyenv to a central location of my choice, e. g. ~/.pyenv (this helps manage all those different Python versions piling up from all the isolated projects I have.)

2. Install pipenv as a stand-alone tool. Doesn’t matter which Python I’m using, I just want to have it in my PATH.

3. Now I’m ready to create fully isolated projects using pipenv. Not only does pipenv create a venv right inside my project directory for me, it also helps me manage and lock dependencies. It also talks to pyenv so it can fetch the per-project Python version for me; this is especially useful when collaborating with others on the same project; they can reliably check out the project without having to manage specific Python versions themselves.

YMMV but I’ve had a stable experience using this setup so far.

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