Question; besides your books - which I have just discovered - would there be any intro to math and engineering books that use Sympy / Python that you'd recommend? I posted that question earlier a while back but didn't get a lot responses.
Here are some links to the best computer-based-science stuff I was able to find in my bookmarks:
[ The official docs] tutorial https://docs.sympy.org/latest/tutorial/index.html + other docs https://docs.sympy.org/latest/index.html + SymPy links from the wiki https://github.com/sympy/sympy/wiki/External-SymPy-Media%2C-...
[ Reference of equations from advanced physics in a very condensed manner ] https://www.theoretical-physics.net/dev/index.html == https://www.theoretical-physics.net/dev/theoretical-physics.... It's mostly equations, but there are snippets of SymPy interspersed in there (written by Ondřej Čertík, who started SymPy)
And now for something in the other extreme—instead of exact equations, you can do physics with simulations:
[ Modelica ] Imagine you had an ODE (ordinary differential equations) solver with pre-defined "modules" for electrical, mechanical, thermal, and other systems. Modelica is not Python-based, but has its own language for describing variables, differential equations, and initial conditions. https://marcobonvini.com/modelica/2020/06/29/all-about-model... via https://news.ycombinator.com/item?id=23690788 Intro talk https://www.youtube.com/watch?v=-mvEUuc-sWE and a Modelica book https://mbe.modelica.university/
I've been telling all my students to use https://live.sympy.org/ but having that available offline will be even better.
[1] For anyone not-familiar, check this printable tutorial https://minireference.com/static/tutorials/sympy_tutorial.pd...