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Python Codes for Interactive Linear Algebra

Provided in the following formats:

1. Python codes in a Single Github Directory
2. Chapter-by-Chapter code (.html and .ipynb files)

Steps To Download the Following:

(i) Right Click on the link
(ii) Select "Save link as"
(iii) Choose your destination folder and click OK.

Chapter-by-Chapter Python Code (.html):

Chapter 1: Basic Matrix Operations
Chapter 2: Matrix Theory and Visualization
Chapter 3: Matrix Applications to Machine Learning
Chapter 4: Matrix Applications to Regression Models
Appendix A: A Tutorial of R and RStudio
Appendix B: Visualization of Matrices

Chapter-by-Chapter Python Code (.ipynb):

Chapter 1: Basic Matrix Operations
Chapter 2: Matrix Theory and Visualization
Chapter 3: Matrix Applications to Machine Learning
Chapter 4: Matrix Applications to Regression Models
Appendix A: A Tutorial of R and RStudio
Appendix B: Visualization of Matrices

Citation: Shen, S.S.P., 2024: Interactive Linear Algebra with R and Python, 265pp.