A Student's Guide to Python for Physical Modeling - by Jesse M Kinder & Philip Nelson

This comprehensive guide is perfect for science students who want to learn Python programming language for physical modeling.

With a fully updated second edition, you'll learn how to install an open-source Python environment and perform various scientific computing tasks such as data visualization, numerical analysis, simulation, and more! The book includes numerous code samples and exercises with solutions, as well as supplemental online resources for added support.

You'll also discover new material on symbolic calculations with SymPy, introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming.

Whether you're a beginner or looking to expand your skills, this guide is the perfect tool for anyone interested in physical modeling using Python.