#364: Symbolic Math with Python using SymPy

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 7 May 2022

⏱️ 68 minutes

🔗️ Recording | iTunes | RSS

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Summary

We're all familiar with the data science tools like numpy, pandas, and others. These are numerical tools working with floating point numbers, often to represent real-world systems. But what if you exactly specify the equations, symbolically like many of us did back in Calculus and Differential Equations courses? With SymPy, you can do exactly that. Create equations, integrate, differentiate, and solve them. Then you can convert those solutions into Python (or even C++ and Fortran code). We're here with two of the core maintainer: Ondřej Čertík and Aaron Meurer to learn all about SymPy.

Transcript

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0:00.0	We're all familiar with the data science tools like Numbai, Pandas, and others.
0:04.3	These are numerical tools that work with floating point numbers often to represent real-world
0:09.2	systems. But what if you could exactly specify the equations symbolically, like many of us
0:15.3	did back in calculus or differential equations courses? With SimPi, you can do exactly that. Create equations, integrate,
0:22.8	differentiate, and solve them. Then you can convert those solutions into Python or even C++ and
0:28.1	Fortran code. We're here with two of the core maintainers, Andre Sertic and Aaron Moore, to learn
0:33.4	about Simpy. This is Talk Python to Me, episode 364, recorded May 6th, 2022.
0:53.0	Welcome to Talk Python, a weekly podcast on Python.
0:56.6	This is your host, Michael Kennedy.
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