You can learn a lot of math with a bit of coding.

Mathematical programming gives you tools for learning, exploring, and discovering applied mathematics in areas including statistics, data science, and signal processing. This is why I use a combination of traditional instruction (lecture slides, words, diagrams) and hands-on programming in MATLAB and Python when teaching.





You can enter the discount code 202212 to get a discount on any of my Udemy courses (this code is embedded in all direct links on this page).




Code files for the linear algebra and calculus courses are also available on my github.




Code files for the theory/intuition and data science books are available on my github.








Code files for this book are available on my github.



You can enter the discount code 202212 to get a discount on any of my Udemy courses (this code is embedded in all direct links on this page).




Code files for the Onramp course are available on my github. Code files for other courses listed above are inside the course pages.




Code files for the book are here, and solutions to all coding exercises are in this zip.

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