September 2014
Intermediate to advanced
512 pages
12h 39m
English
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Chapter 15. Symbolic and Numerical Mathematics
In this chapter, we will cover the following topics:
- Diving into symbolic computing with SymPy
- Solving equations and inequalities
- Analyzing real-valued functions
- Computing exact probabilities and manipulating random variables
- A bit of number theory with SymPy
- Finding a Boolean propositional formula from a truth table
- Analyzing a nonlinear differential system – Lotka-Volterra (predator-prey) equations
- Getting started with Sage
Introduction
In this chapter, we will introduce SymPy, a Python library for symbolic mathematics. Whereas most of the book deals with numerical methods, we will see examples here where symbolic computations are more suitable.
SymPy is to symbolic computing what NumPy is to numerical computing. ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.