# Environment Setup

Setting up a proper Python environment for data analysis involves choosing a package manager, managing dependencies, and selecting a development environment. A well-configured environment ensures reproducibility and avoids package conflicts. The main tools are pip and conda for package management, and virtual environments for isolation.

Visit the following resources to learn more:

- [@article@How to Set Environment Variables in Python (Step-by-Step)](https://roadmap.sh/python/set-environment-variable)
- [@video@Setting Up A Python Environment for Data Analysis and Machine Learning](https://www.youtube.com/watch?v=NDFMa5FSQuI)