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For those wondering, like me, what SymPy is, the top of https://docs.sympy.org/latest/index.html https://docs.sympy.org/latest/index.html explains it: > SymPy

by jdubb 6y ago

For those wondering, like me, what SymPy is, the top of https://docs.sympy.org/latest/index.html https://docs.sympy.org/latest/index.html explains it: > SymPy is a Python library for symbolic mathematics. Both the release notes as well as the readme of the github repository don't explain it (or at least I couldn't find it).

jbay808 6y ago
https://live.sympy.org/ https://live.sympy.org/ You can play with it here! (Not this latest release though, apparently)
davidbrennerjr 6y ago
An oversimplified explanation. SymPy is a non-interactive toolkit for balancing the numerical coefficients of a system of nonlinear equations. FYI a "system" in this sense is a math term. I also found that SymPy is too niche because it's not interactive.
Majromax 6y ago
I admit to being frustrated by the SymPy documentation. It does an adequate job of explaining "what" (i.e. the mechanics of each function or class), but I cannot read it to get an idea of the "how" or "why" questions, of how to best use SymPy to accomplish my goals. I feel like there's a missing manual somewhere.
SimonDorfman 6y ago
I agree, hard to find. I found this, which I think should be in the readme: https://docs.sympy.org/latest/tutorial/intro.html https://docs.sympy.org/latest/tutorial/intro.html Symbolic computation deals with the computation of mathematical objects symbolically. This means that the mathematical objects are represented exactly, not approximately, and mathematical expressions with unevaluated variables are left in symbolic form. Let’s take an example...
zokier 6y ago
> the readme of the github repository don't explain it (or at least I couldn't find it). The first thing in the README is this banner saying > Python Library for Symbolic Mathematics https://raw.githubusercontent.com/sympy/sympy/master/banner.svg https://raw.githubusercontent.com/sympy/sympy/master/banner.... also the "About" snippet in github has > A computer algebra system written in pure Python

by jdubb 6y ago

jbay808 6y ago

https://live.sympy.org/ https://live.sympy.org/ You can play with it here! (Not this latest release though, apparently)

davidbrennerjr 6y ago

An oversimplified explanation. SymPy is a non-interactive toolkit for balancing the numerical coefficients of a system of nonlinear equations. FYI a "system" in this sense is a math term. I also found that SymPy is too niche because it's not interactive.

Majromax 6y ago

I admit to being frustrated by the SymPy documentation. It does an adequate job of explaining "what" (i.e. the mechanics of each function or class), but I cannot read it to get an idea of the "how" or "why" questions, of how to best use SymPy to accomplish my goals. I feel like there's a missing manual somewhere.

SimonDorfman 6y ago

I agree, hard to find. I found this, which I think should be in the readme: https://docs.sympy.org/latest/tutorial/intro.html https://docs.sympy.org/latest/tutorial/intro.html Symbolic computation deals with the computation of mathematical objects symbolically. This means that the mathematical objects are represented exactly, not approximately, and mathematical expressions with unevaluated variables are left in symbolic form. Let’s take an example...

zokier 6y ago

> the readme of the github repository don't explain it (or at least I couldn't find it). The first thing in the README is this banner saying > Python Library for Symbolic Mathematics https://raw.githubusercontent.com/sympy/sympy/master/banner.svg https://raw.githubusercontent.com/sympy/sympy/master/banner.... also the "About" snippet in github has > A computer algebra system written in pure Python