September 2015
Intermediate to advanced
260 pages
5h 2m
English
Content preview from Mastering Python High PerformanceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
In this chapter, we have covered two alternatives to the standard Python implementation. One is PyPy, which consists of a version of Python and is implemented in RPython. It has a JIT compiler in charge of optimizing the code during execution time. The other one is Cython, which is basically a transpiler of Python code into C code. We saw how each of them worked, how to install them, and how our code needed to be changed in order to gain benefits from using them.
Finally, we went over a few points on how and when to choose one over the other.
In the next chapter, we'll focus on a very specific use case for Python: number crunching. The topic is very common in the Python community, since the language is very often used for scientific purposes. ...
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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.