So which should you use, pip or Conda? For general Python computing, pip and PyPI are usually fine, and the surrounding tooling tends to be better. For data science or scientific computing, however, Conda’s ability to package third-party libraries, and the centralized infrastructure provided by Conda-Forge, means setup of complex packages will often be easier.
From my experience, I would use Mambaforge or pyenv and Poetry.
Pyenv works by adding a special directory called shims in front of your PATH environment variable
How pyenv works
If you are on Linux, you can simply download it from GitHub but the most convenient way is to use the pyenv-installer that is a simple script that will install it automatically on your distro, whatever it is, in the easiest possible way.
Installing pyenv on Linux
The goal of this tutorial is to describe Python development ecosystem.
tl;dr:
INSTALLATION:
TESTING:
REFACTORING:
For Windows, there is pyenv for Windows - https://github.com/pyenv-win/pyenv-win. But you’d probably better off with Windows Subsystem for Linux (WSL), then installing it the Linux way.
You can install pyenv for Windows, but maybe it's better to go the WSL way