Hi all,
I wanted to share a new PyData Seattle talk that may interest SymPy users. The talk explores a broad question: Which equations have closed-form solutions, and which never will?
To investigate this, I cheated. Instead of using advanced algebra, Galois theory, or transcendental number theory, I used Python and SymPy to probe families of equations:
The talk shows when SymPy succeeds symbolically, when it falls back to numerical methods, and when equations seem fundamentally unsolvable in closed form.
New Video:
https://www.youtube.com/watch?v=02Bchtfb0AI
Free article:
https://medium.com/data-science/explore-solvable-and-unsolvable-equations-with-python-661ac11f4f20
Thanks to everyone who contributes to SymPy. It’s an excellent tool for exploring these questions.
Best,
Carl Kadie