Creating Python environments using condaįollow these instructions to install conda and get started with environments. Note: this article is geared towards Mac users, and especially Apple Silicon Mac users, but the basic conda instructions will work on all platforms.
It allows you to maintain separate environments for different projects - each environment can contain different packages, different package versions, and even different Python versions - and it’s quick and easy to switch between them. Conda is a very popular package and environment management tool (we’ll be discussing the environment management aspect). I encounter this problem frequently as a data scientist - I frequently return to old projects and code so I need an easy way to manage multiple environments with different Python versions. When starting new projects you’ll want to take advantage of the latest features ( Python 3.10 was recently released!), but you’ll also need to maintain older projects that use previous versions. If you work with Python enough, you’ll eventually need to manage environments with different Python versions.
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