Linear Algebra for Data Science with Python

Linear Algebra for Data Science with Python#

by John M. Shea#

Coming soon!

About the book#

This book is an introduction to linear algebra with a focus on its application to data science. This book is targeted toward engineers and scientists, but it should be easily accessible to anyone who knows basic calculus and the basics of computer programming. By leveraging this background knowledge and focusing on data science, this book fits a unique niche in the books on linear algebra.

About this website#

This website contains material that could not be included in the book itself, including:

  • Interactive tools to help students learn the material, including:

    • Interactive self-assessment quizzes via JupyterQuiz

    • Interactive flashcards to aid in learning terminology via JupyterCards \(\,\!\)

  • Animations and interactive visualizations

  • Problem sets for homework or additional practice (Coming soon!)

  • Errata for the book (When available)

  • A list of websites and books for those who want to continue their learning

Please feel free to open an issue on GitHub with suggested materials (especially problems for the interactive quizzes or homework/practice problem sets): jmshea/Linear-Algebra-for-Data-Science-with-Python

Examples of interactive materials#

Flashcards