January 2018
Beginner to intermediate
548 pages
12h 11m
English
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Accelerating pure Python code with Numba and Just-In-Time compilation
Numba (http://numba.pydata.org) is a package created by Anaconda, Inc (http://www.anaconda.com). Numba takes pure Python code and translates it automatically (JIT) into optimized machine code. In practice, this means that we can write a non-vectorized function in pure Python, using for loops, and have this function vectorized automatically by using a single decorator. Performance speedups when compared to pure Python code can reach several orders of magnitude and may even outmatch manually-vectorized NumPy code.
In this section, we will show you how to accelerate pure Python code generating a Mandelbrot fractal.
Getting ready
Numba should already be installed in Anaconda, but ...
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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.