This repository contains instructional resources developed by Mariana Meireles during her time as a Guest Lecturer at Harvard University. She was invited through the LSSTC-DSFP program to teach Astronomy graduate students from July to August 2022 in Boston, Massachusetts. The repository focuses on three key areas:
- Object-Oriented Programming in Python
- Performance in High Computational Science
- Reproducibility in Open Science
The materials are work-in-progress and are intended to serve as a resource for both educators and students interested in these topics.
This repository's content is licensed under the GNU General Public License v3.0 (GPL-3.0). However, it's important to be aware that some linked external content may be governed by different licenses, which would supersede the GPL-3.0 license applied to this repository.
A considerable portion of the content related to the Object-Oriented Programming class has been derived from the exemplary work of Luciano Ramalho. This includes insights from his talk at PyCon US, as well as materials from his book, "Fluent Python."
For any queries or suggestions, feel free to open an issue or submit a pull request.
Thank you!