165: Differential Equations
Update: 2023-09-251
Description
Intro topic: Revisiting the power of Spreadsheets
News/Links:
- LK-99 Isn’t a Superconductor
- Normalizing Flows
- How is llama.cpp possible?
- Chat with open source large language models
Book of the Show
- Patrick: Math with Bad Drawings by Ben Orlin
- Jason:
Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h
Tool of the Show
- Patrick:
- ffmprovisr https://amiaopensource.github.io/ffmprovisr/
- Jason:
- Pandas read_ods() read_excel()
Topic: Differential Equations
- Why should programmers learn about DiffEq
- Law of Large Numbers
- What are differential equations?
- When you know the rate of change
- EigenVectors & EigenValues
- What is Jacobian What is Jacobian? | The right way of thinking derivatives and integrals
- Special cases
- Partial Differential Equations
- Ordinary Differential Equations
- Why solvers are important
- Numerical Stability at larger step sizes
- Example: https://medium.com/@pukumarathe/eulers-method-and-runge-kutta-4th-order-method-in-python-b4a0068a8ebe
- Fun Examples
- Predator-Prey relationships in scipy
- Physics Engines for games
- PageRank
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In Channel
the topic in the title starts after ~45' of other stuff. All interesting but with so many tangents, the title starts feeling like clickbait. Then goes on trying to give a disorganised explanation of DEs, leaping from example to example with "sort of" explanations. Are they talking to an audience who already knows DEs? To mathematicians? to programmers? To guys coming out of uni? They need to decide. And have a bit of a script. I hope this feedback helps them, bcs this podcast is so close to TOP