Managing Python environments is crucial for ensuring that your projects have the correct dependencies and versions of libraries without conflicts. In this guide, we'll walk you through two popular tools for managing Python environments: Anaconda and Virtualenv. We'll explore how to install them, create and manage environments, and share environments across machines. Let’s dive in!
Anaconda is a powerful distribution of Python and R for scientific computing, data science, and machine learning. It comes with a package manager (conda) that makes managing environments and packages easier. Here’s everything you need to know to get started.
First, download Anaconda from the official website: Anaconda Downloads. Choose the appropriate version for your operating system and follow the installation instructions.
Step 1: Add it to the path
where conda
