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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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How to choose the right option


Up to this point, we've gone over two different alternatives to radically optimize our code. However, how do we know which one is the right one? Or even better, which one is the best one?

The answer to both those questions is the same: there is no single best or right one. Whether one of the options is better or worse depends entirely on one or more of these aspects:

  • The actual use case you're trying to optimize

  • The familiarity of the developer with either Python or C

  • The importance of readability of your optimized code

  • The amount of time at hand to perform the optimization

When to go with Cython

Here are the situations when you should go with Cython:

  • You're familiar with C code: It's not like you'll be coding in C, but you will be using principles that are common to C, such as static types, and C libraries, such as math.h. So, being familiar with the language and its internals will definitely be helpful.

  • Losing Python's readability is not a problem: The code you...

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