Overview

This chapter covers numerical linear algebra, focusing on its implementation, use cases, and performance characteristics. We explore both built-in Python libraries and specialized libraries for data manipulation and analysis.

Lectures

• Basics of Linear Algebra
• Numerical Criteria
• Solving Linear Equations
• Eigenvalues and Eigenvectors
• Sparse Matrices
• Randomized Linear Algebra
• GPU for Linear Algebra