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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
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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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Toc

Usage of default arguments

Another optimization technique, one that is contrary to memoization, is not particularly generic. Instead, it is directly tied to how the Python interpreter works.

Default arguments can be used to determine values once at function creation time, instead of at run time.

Tip

This can only be done for functions or objects that will not be changed during program execution.

Let's look at an example of how this optimization can be applied. The following code shows two versions of the same function, which does some random trigonometric calculation:

import math 

#original function
def degree_sin(deg):
    return math.sin(deg * math.pi / 180.0)

#optimized function, the factor variable is calculated during function creation time, 
#and so is the lookup of the math.sin method.
def degree_sin(deg, factor=math.pi/180.0, sin=math.sin):
    return sin(deg * factor)

Note

This optimization can be problematic if not correctly documented. Since it uses attributes to precompute terms...

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