Looking at the syllabus, you should have fun.  It's really racing over a 
lot of topics.

The first lecture has a matrix example built around weather. It includes 
both a Matplotlib page and a Jupyter Notebook for running the matrix 
system.  I imported it as jupytext into Leo and found that I could get the 
example running in VR3 - with a little tweaking. Doing this, I noticed an 
error in the Jupytext import code. 

After the fix-up tweaks, I executed the notebook and got the attached 
graphical result.

On Sunday, December 1, 2024 at 8:23:05 AM UTC-5 Edward K. Ream wrote:

> On Thursday, November 28, 2024 at 9:22:39 AM UTC-6 Edward K. Ream wrote:
>
> I shall study engineering math under the long-distance direction of Prof. 
> Steve 
> Brunton <https://www.me.washington.edu/facultyfinder/steve-brunton> at 
> the "other" UW, the University of Washington. In other words, I'll study 
> his YouTube videos and his outstanding online course, Data Driven Science 
> <http://databookuw.com/>.
>
>
> The video Differential Equations Overview 
> <https://www.youtube.com/watch?v=9fQkLQZe3u8&list=PLMrJAkhIeNNTYaOnVI3QpH7jgULnAmvPA>
>  
> is the first lecture of the course ME 564: Mechanical Engineering Analysis 
> <http://faculty.washington.edu/sbrunton/me564/>.
>
> This page will guide my study. At the top of the page is a list of 
> homework assignments.
>
> Be sure to scroll down to the syllabus. There are three parts: ODEs, 
> Numerical calculus, and (!) Complex analysis. Each part contains a series 
> of lectures. Each lecture contains lecture notes and accompanying .m 
> (Matlab) files. Matlab is free if you use it for less than 20 hours per 
> month.
>
> Edward
>

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