December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How it works...
This is the main code of the solution:
import numpyfrom numpy import linspaceimport scipyfrom scipy.integrate import odeintimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dsigma=10.0b=8/3.0r=28.0f = lambda x,t: [sigma*(x[1]-x[0]), r*x[0]-x[1]-x[0]*x[2], x[0]*x[1]-b*x[2]]
This is the final result:
This precisely shows the chaotic behavior of the solutions. Let's observe the fluctuations of the vertical temperature in detail, along with the fluctuation of the horizontal temperature against the vertical. Issue the following commands:
plt.rcParams['figure.figsize'] = (10.0, 5.0)plt.subplot(121); plt.plot(t,Z) ...
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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.