Pipenv is a new and popular way of automatically creating a 'virtualenv' for the project. A web developer who uses Django, Flask, and other Python-related frameworks can use Pipenv as their Virtual Environment. Data scientists tend to use Anaconda distribution, which comes with many useful pre-installed packages, which are easy to install and manage.
One can work with many different versions of Python with its various packages. Virtual Environment is used to create a container or isolated environment where the Python-related dependencies are installed for a specific project. It also has an alternative option to create from Anaconda Navigator. 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'.
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