We suggest to use Jupyter Notebook to edit and run Python code. You can install it via
pip3 install jupyterin your terminal/PowerShell.
How to run case studies in Python
We use Pipenv for Python dependency management. First, install it via
pipby running the following code in your terminal/PowerShell:
pip3 install pipenv
Create virtual environment and install required packages
Go to the
da_case_studiesfolder to create a virtual environment and install packages by running the following code in your terminal/PowerShell:
This installs the required Python version and packages stored in the
NOTE: Python environment was testet thoroughly only on Mac OS. Windows users might experience bugs, therefore we prepared
requirements.txt for all package==version we used in the notebooks and
requirements_pipenv.txt for all packages and dependencies used in the virtual environment.
Run Jupyter Notebook
To start a Jupyter Notebook in this virtual environment, go to the
da_case_studiesfolder and run the following code in your terminal/PowerShell:
pipenv run jupyter notebook
The jupyter environment should be opened on your default browser. You are good to go!