Material to be shared with mentees from GL.
Each case study lives in its own directory along with the data required to run the notebook.
The requirements to run all the notebooks are saved in requirements.txt
Create a conda virtual environment. Confirm that you are inside your virtual environment with which python
and which pip
- the path should look something like this /Users/cameronsmith/anaconda3/envs/ENV_NAME/bin/python
where ENV_NAME
is whatever you named the environment.
Then install the requirements with pip install -r requirements.txt