This repo contains Pluto notebooks with Julia code (a free and open source language that is easy to use and fast). The code is along the lines of the Matlab code here. It is intended as a companion to the book:
Data Driven Science & Engineering: Machine Learning, Dynamical Systems, and Control
by S. L. Brunton and J. N. Kutz
Cambridge Textbook, 2019
Copyright 2019, All Rights Reserved, databookuw.com
Please cite this book when using this code/data.
All errors in the Julia code go to Frank Huettner. No guarantee for the functionality can be/is given.
Experimental: You can test some of the notebooks on binder (the others are in the CH01, CH02,... folders) Note, this is somewhat experimental. Be patient, this takes a few minutes to load as it installs some of Julia from scratch (Just install Julia on your system if you want the real performance)
- CH01_SEC02.jl
- CH01_SEC03_Rotation.jl
- CH01_SEC04_1_Linear.jl
- CH01_SEC04_3_Housing.jl
- CH01_SEC05_1_PCAGaussian.jl
- CH01_SEC09_Tensor.jl
What about Jupyter? Pluto is more fun for now. Jupyter fans, have a look at this: Ch2§3 FFT & Burgers equation