Month: January 2019

Virtual Environments are helpful in keeping all the dependencies (packages), required for a Python project, in one place. So you can avoid issues with conflicting dependencies when working on different projects simultaneously. For instance, one major use case is when you want to run different Python versions like 2.7, 3.5, and 3.6 on the same…