Recommended bibliography

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.

Author: Curro Perez Bernal

Created: 2025-11-03 Mon 16:22

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