Improving the consistency of your projects with virtual environments in Anaconda
Virtual environments in python are very useful for managing different projects and especially when multiple people have to work on them. It is also useful for using packages which are not entirely supported on every version of python. Personally I needed a virtual environment when using Tensorflow. Tensorflow was not available on Python version 3.6 and hence I needed »