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Mastering Python High Performance
book

Mastering Python High Performance

by Fernando Donglio
September 2015
Intermediate to advanced
260 pages
5h 2m
English
Packt Publishing
Content preview from Mastering Python High Performance

Chapter 6. Generic Optimization Options

In the never-ending road to mastering optimization, we started by covering some tips and tricks in Chapter 4, Optimize Everything. In Chapter 5, Multithreading versus Multiprocessing, we went over two major optimization strategies: multithreading and multiprocessing. We saw how they help us and when to use them.

Finally, we will deal with one of the many implementations of the Python language (CPython). This implies that there are other alternatives to CPython. In this chapter, we'll cover two of them:

  • We'll cover PyPy, an alternative to the standard Python interpreter we've been using throughout the book. This one is written in Python and has some benefits over the standard version.
  • We will talk about Cython, ...
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Publisher Resources

ISBN: 9781783989300