It is assumed that you have account on the GitHub and have enough limits left for Codespaces within your subscription plan: https://github.com/settings/billing#usage
Once you are logged on to your account at https://github.com/, go to the page https://github.com/SAP-samples/hana-ml-py-codejam and click on Fork.
If not needed, then leave everything on the Create a new fork page as it was, and click Create fork.
Make sure you are on GitHub page with your own repository now (1).
Then (2) click on Code, (3) open the tab Codespaces, and (4) click Create codespace.
Go to (1) Extensions and (2) search for ms-python.python extension.
Install (3) it.
Repeat the same for the extension ms-toolsai.jupyter.
Clean the search bar, and check that Python and Jupyter extensions are installed in your codespace.
Install the Python machine learning client for SAP HANA (hana-ml) and other required dependencies listed in https://help.sap.com/doc/cd94b08fe2e041c2ba778374572ddba9/2023_2_QRC/en-US/Installation.html#installation-guide using the following command:
python -m pip install 'hana_ml==2.18.*' ipywidgets 'jinja2>=3.0.0' pydotplus graphviz 'shapely>=1.7.1' matplotlib --no-cache-dir
In your codespace you can close your terminal now.
Go to (1) Explorer and open (2+3) the exercises/010-check_setup.ipynb notebook.
It should (4) open in a Jupyter extension.
The (5) kernel should be set automatically to something like ~/.python/current/bin/python3, if you have only one installed.
