Lectures related to Data Science with Python: Modules and Numpy

Covers linear applications, matrices, transformations, and the principle of superposition.

Covers tensor algebras, symmetric and exterior algebras, and tensor products of modules.

Introduces NumPy and Matplotlib, essential tools for scientific computing and data visualization in Python.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Covers data manipulation and exploration using Python with a focus on visualization techniques.