December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How it works…
The code starts by generating a plot of the probability mass function of a Gamma distribution, which is a well-known example of skewed distribution. After importing the gamma object from scipy.stats, the distribution is created with distr = gamma(2.0). The value of 2.0 for the parameter is chosen to generate a graph with the desired shape. The points defining the plot are then computed in the xvalues and yvalues arrays and the plot() function is called to create the line plot. After that, we add a title and labels for the axes with the title(), xlabel(), and ylabel() functions, respectively.
After the line plot is set up, we start working on the annotations. The first step is to compute the mean and median of the distribution ...
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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.