This is a Jupyter Book that serves as the course materials for the Centre for Digital Scholarship's courses Introduction to programming with Python and Data analysis with Python, as well as other courses.
During the course, students are asked to run the code in the tutorial notebooks and practice their understanding through exercises. Solutions to the exercises are included in separate notebooks.
The tutorial notebooks and solutions are converted and published as the course website.
To install the dependencies for this book, or the notebooks, you need Python
3.7 or newer.
Clone the repository and cd into the repository directory.
Then you can install the dependencies.
pip install -r requirements.txtIt is recommended to create a virtual environment for this.
To build the HTML version of the book, run:
jupyter-book build .Contributions to improve the materials are welcome in the form of issues and pull requests.
Each merged pull request will update the website and create a release that includes a zipfile containing the original notebooks for students to use.
The course materials have been created by Peter Verhaar and Ben Companjen, except where noted otherwise. The copyright is held by Leiden University Libraries.