There are many ways to approach Python environment and version management. Ultimately, the ideal solution allows for any project to run a different version of Python and package a unique set of dependent libraries.

This article from the team at Daytona provides a great overview and comparison of the various environment management tools.

The Ultimate Guide to Managing Python Environments

Mac Setup for Web Development

Robin Wieruch Macbook build

Vim & Nano cheat sheets

Python

Jupyter

Spark Programming resources

https://sparkbyexamples.com/pyspark-tutorial/

Below are the applications I currently have installed for development & testing.

Source Control of developer toolchain install scripts and system configuration

Dotfiles

Set up a repo for dotfiles. Reference files from symbolic links from ~/ https://github.com/mathiasbynens/dotfiles

Ultimate guide to dotfiles
https://www.daytona.io/dotfiles/ultimate-guide-to-dotfiles

Homebrew installation and updates

ASDF?

Setup git for development & testing

Set the default branch to main instead of master:

git config --global init.defaultBranch main