November 2019
Intermediate to advanced
346 pages
9h 36m
English
We began step 1 by creating a virtual Python environment. The -m flag indicated the module to be used, which, in this case, is venv. Next, in step 2, we activated our Python environment, so we can use it and make changes to it. Note that the folder structure of a Python environment is different on Windows than Linux or Mac. An indication that the environment is currently active is seeing the name of the environment in the Terminal, like so:
("name-of-your-environment")
In step 3, you may install packages as usual, as in this example:
pip install numpy
And rest assured that it will not affect your packages outside of this environment. Sweet!