I’m putting this in off-topic since my question is more general. I want to learn more about the sci-ml type packages eventually but feel like I lack some fundamental knowledge on *DEs and would therefore ask for recommendations on material to read about them (maybe a textbook or so). I have “seen” differential equations before during my masters but it was just an introduction. Any help is very much appreciated!
These are by far my fav lecture notes on DEs:
They won him a teaching prize @ MIT.
Check out “Exploring ODEs” by Trefethen et al. It’s available free on his webpage.
Unfortunately it uses MATLAB.
Thank you! Maybe I can translate some models once I understand the packages better.
Zwillinger  Handbook of Differential Equations, Academic Press, has a somewhat original approach.
For each technique covered, the author provides (quote):
• the types of equations to which the method is applicable
• the idea behind the method
• the procedure for carrying out the method
• at least one simple example of the method
• any cautions that should be exercised
• notes for more advanced users
• references to the literature for more discussion or more examples
I would highly recommend the Gil Strang lectures:
This sounds like my level. Thank you!
I definitely loved his lectures on linear algebra. He is an amazing teacher. Thanks!