Recommended bibliography
Table of Contents
1. Recommended bibliography
- Python for Data Analysis by Wes McKinney. Published by O’Reilly Media, Inc.
- Effective Computation in Physics by Anthony Scopatz and Kathryn D. Huff. Published by O’Reilly Media, Inc.
- Introduction to Machine Learning with Python by Andreas C. Müller and Sarah Guido. Published by O’Reilly Media, Inc.
- Machine Learning for Physicists: A hands-on approach by Sadegh Raeisi and Sedighe Raeisi. Published by IOP Publishing Ltd 2023.
- Numerical Methods for Scientists and Engineers by Richard W. Hamming. Published by Dover Publications Inc. 1973.
Created: 2025-11-03 Mon 16:22