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Mastering Python High Performance

You're reading from   Mastering Python High Performance Learn how to optimize your code and Python performance with this vital guide to Python performance profiling and benchmarking

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781783989300
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Fernando Donglio Fernando Donglio
Author Profile Icon Fernando Donglio
Fernando Donglio
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Summary

Now that we've covered both alternatives, their main characteristics, and their ups and downs, it is really up to the developer to pick one or the other. There is clearly no better one, since they are meant for different scenarios, although they might seem to accomplish the same thing.

The main take-away from this chapter should be the points mentioned earlier, the main characteristics of each approach, and when each one should be used.

In the next chapter, we'll continue with the optimization tools. This time, we will look at Cython (an alternative that allows you to compile your Python code on C) and PyPy (an alternative interpreter written in Python that is not bound to the GIL like CPython is).

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