https://github.com/borisbolliet/researchcomputing
MPhil DiS and MPhil Economics and Data Science - Research Computing and Software Development
https://github.com/borisbolliet/researchcomputing
agentic-ai research-computing software-development
Last synced: about 1 month ago
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MPhil DiS and MPhil Economics and Data Science - Research Computing and Software Development
- Host: GitHub
- URL: https://github.com/borisbolliet/researchcomputing
- Owner: borisbolliet
- License: mit
- Created: 2024-08-28T10:11:46.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-07T00:23:59.000Z (5 months ago)
- Last Synced: 2025-06-04T17:18:58.164Z (4 months ago)
- Topics: agentic-ai, research-computing, software-development
- Homepage: https://researchcomputing.readthedocs.io/en/latest/
- Size: 93.7 MB
- Stars: 16
- Watchers: 1
- Forks: 60
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
Research Computing and Software Development for Data Intensive Science
=======================================================================[](https://researchcomputing.readthedocs.io/en/latest/?badge=latest)
Author: [Boris Bolliet](https://github.com/borisbolliet) (University of Cambridge)
This course is taught to the MPhil in Data Intensive Science and the MPhil in Economics and Data Science.
The course moodle is [here](https://www.vle.cam.ac.uk/course/view.php?id=252189).
The course readthedocs is [here](https://researchcomputing.readthedocs.io/en/latest/).
The course is based on material from many sources, including:
- James Fergusson's lecture notes (private communication, see [course archive](https://gitlab.developers.cam.ac.uk/phy/data-intensive-science-mphil/lecture-materials/c1_research_computing/-/tree/main/course_archive?ref_type=heads) for UoC students),
- Format inspired by UvA Deep Learning course, 2023 [Phillip Lippe's amazing tutorial notebooks](https://uvadlc-notebooks.readthedocs.io/en/latest/).