Resources

All input files used in the course can be downloaded from our GitHub repository: https://github.com/nguyen-group/CPL/.

Textbook or Designated Reading:

• Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming, Eric Matthes, 2019

• Fluent Python: Clear, Concise, and Effective Programming, Luciano Ramalho, 2015

• Python Data Science Handbook: Essential Tools for Working with Data, Jake Vanderplas, 2017

• Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Aurelien Geron, 2017

• Introduction To Solid State Physics, Charles Kittel, 2004

Note: Additional journal articles, reviews, and materials will be given out in classes.

Other References:

• https://github.com/nguyen-group/Neural_Networks_with_Python

• https://github.com/Asabeneh/30-Days-Of-Python

• https://github.com/CodeWithHarry/The-Ultimate-Python-Course