The main textbook for this course is

Computational Physics, Mark Newman, 2012. ISBN-13: 978-1480145511. Amazon Link

the author also has useful additional resources here.

Additional Resources:

Optimization / Parameter Fitting:

• Data Analysis Recipes: Fitting a model to data  – by Hogg, Bovy and Lang
• Data Analysis Recipes: Using Markov Chain Monte Carlo  – by Hogg and Foreman-Mackey

Machine Learning

• scikit-learn documentation

for use in class (features.txt, labels.txt, snippet0.txt, snippet1.txt, snippet2.txt,  snippet3.txt, snippet4.txt, snippet5.txt)

Numerical Simulation

• Notes on Computational Hydrodynamics (M. Zingale)