Working With Python Virtual Environments
Working With Python Virtual Environments Free Tutorial Download
Virtual Environment in Python
Learn about the Virtual Environment and two different ways for creating it: Pipenv is mostly used by web developers and Anaconda distributions for data scientists where Virtual Environment is created from ‘conda’ through ‘Anaconda Prompt’. It also has an alternative option to create from Anaconda Navigator.
Virtual Environment is used to create a container or isolated environment where the Python-related dependencies are installed for a specific project. One can work with many different versions of Python with its various packages. Data scientists tend to use Anaconda distribution, which comes with many useful pre-installed packages, which are easy to install and manage. A web developer who uses Django, Flask, and other Python-related frameworks can use Pipenv as their Virtual Environment.
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