A virtual environment in Python allows you to setup a folder for dependencies that could be used among a few projects (i.e. data science projects that need base conda libraries) or isolated per project to ensure no conflicts. This prevents conflicting having a project that needs library v1.0 and another project needing v2.0. To create a new virtual environment, invoke…
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