Happy exploration Edward,

This idea of exploring deep subjects assisted/extended by computational notebooks reminded me of two pretty recommended talks by Sam Ritchie:

1. "Emmy: Moldable Physics and Lispy Microworlds": https://www.youtube.com/watch?v=B9kqD8vBuwU 2. "Computational Physics, Beyond the Glass": https://www.youtube.com/watch?v=Jv2JgzAl5yU

I think that meta tools/systems like Clojure/Lips, Leo or Pharo/GToolkit can enable a virtuous feedback cycle when dealing with deep long processes/questions (that was one of the hypothesis in my PhD thesis while creating and putting metatools in grassroots communities).

Thanks for sharing this links and we will be waiting for your computational notes and notebooks along the process. They'll be welcomed as many of your writings and notes along these years.

Cheers,

Offray

On 28/11/24 10:22, Edward K. Ream wrote:

Once againI am confronting my life after Leo. This time I have a clear plan. 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/>.


I started with a superb introductory video: Differential Equations Overview <https://www.youtube.com/watch?v=9fQkLQZe3u8&list=PLMrJAkhIeNNTYaOnVI3QpH7jgULnAmvPA>. The first 10 minutes:


- Explain the place of differential equations (diff-eqs) in engineering mathematics.

- Reveal the intimate connection between diff-eqs and linear algebra.

- Explain how eigenvectors help solve systems of diff-eqs.

- Show why mathematics from 200-300 years ago helps develop intuition that is relevant today.


Brunton assumes only that the viewer: has taken a course in calculus and is bright and motivated.


Specifically, Brunton does /not/assume the viewer remembers much calculus. The series contains refresher lectures for /everything/the viewer needs to know! Any motivated viewer will finish this video /confident/they can master this corner of engineering mathematics!

*
*

*Summary*


I no longer fear finishing Leo. My next project is to study /all/of Brunton's videos, starting with the differential equations.


Edward


P.S. Brunton's online course uses Jupyter Notebooks for exercises. Following his course may suggest new features for Leo.

EKR

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