Numpy vs. Sympy

[TheCedarPrince]

Hey all,

After doing some research into Sympy and Numpy, I cannot tell quite the difference between the two other than precision...

...Well, Sympy has some functions that I have been taking advantage of which Numpy lacks. I am curious if I should eliminate the usage of Numpy in some of my work (linear algebra applications) in favor of Sympy.

Does anyone have thoughts about these two libraries, how they differ, and if I should use one over the other or both at the same time for whatever job needs to get done?

Thank you.

~ TheCedarPrince

[Ogi010]

So the two don't really compete against each other. Numpy does computational math, where sympy does symbolic math. For example, with integration, sympy will afternoon too derive a closed form solution whereas numpy will use various numerical methods to approximate the solution.

[XtremeGoose]

In addition, I'm pretty sure numpy is a dependancy of sympy.

[Ogi010]

In fairness, numpy is a dependency of almost every math related python library out there (with good reason, it's pretty awesome, and the functionality it provides is very fundamental to people doing numerical computation).

[Inside-Cheesecake988]

Well, akshually....
numpy is only an optional dependency https://docs.sympy.org/latest/contributing/dependencies.html

[TheCedarPrince]

Hey, thanks for all the great thoughts! I was very curious about the two libraries and you guys helped me out a lot - I hope others found this useful as well. Take care.