Practical data science courses - from basic to intermediate
Table of Contents
(Not everything is working using Binder, e.g. there is no Spark integration. We are working on it, but you should still get a good overview.)
Course material developed by the team @point8 and @clstaudt.
Contributions welcome! Have a look at CONTRIBUTING.md
We use pyenv and poetry to setup the python development environment.
After installing those two, run the following lines to be ready to develop:
pyenv install -s "$(cat .python-version)"
poetry env use "$(cat .python-version)"
poetry install
Now you can start your jupyter-lab UI with
poetry run jupyter-lab
or a classic notebook view with
poetry run jupyter notebook
As there might occur some problems using the preferred setup on M1 hardware, you could also use conda.
As the leading system is poetry, please update the requirements file according to the dependencies in the pyproject.toml.
If you or your team wants to get an introduction into data science and machine learning or a deep dive into a special topic, we are there to support you! Just contact us by email and we will work out a fitting proposal.
Copyright © 2018-2024 Point 8 GmbH
The training material in this repository is licensed under a Creative Commons BY-NC-SA 4.0 license. See LICENSE file for more information.