An environment is a folder or directory that contains a specific collection of conda packages and their dependencies.Working in separate environments allows you to maintain and run packages without interference from other collections of packages. For example, you may use one conda environment to maintain a Python 3.9 data science project with packages like pandas, numpy, and matplotlib, and use another environment for Python 3.11 web development projects with Django, PostgreSQL drivers, and REST framework libraries.