Web Reference: Let’s create a new Python 3.8 environment based on /usr/bin/python3.8. I store all my Python virtual environments in a subdirectory “virtualenvs” so I change to that directory first. Definition: A virtual environment is an isolated Python environment that allows you to install and manage dependencies separately for each project. Advantages: Virtual environments prevent conflicts between different projects by keeping dependencies isolated. For python, there exist a few options to create and manage your own local environments with the necessary submodules/packages. Below is show, how to create virtual environments using pip with Python's virtualenv module, and using Anaconda Python (conda) environments.
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