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Secret Recipes of the Python Ninja

You're reading from   Secret Recipes of the Python Ninja Over 70 recipes that uncover powerful programming tactics in Python

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788294874
Length 380 pages
Edition 1st Edition
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Tools
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Author (1):
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Cody Jackson Cody Jackson
Author Profile Icon Cody Jackson
Cody Jackson
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Table of Contents (11) Chapters Close

Preface 1. Working with Python Modules FREE CHAPTER 2. Utilizing the Python Interpreter 3. Working with Decorators 4. Using Python Collections 5. Generators, Coroutines, and Parallel Processing 6. Working with Python's Math Module 7. Improving Python Performance with PyPy 8. Python Enhancement Proposals 9. Documenting with LyX 10. Other Books You May Enjoy

Using the math module's functions and constants


Python's math module is built in; therefore, it is always available for import. The mathematical functions contained within it are defined by the C standard, so if something doesn't work, blame the C developers.

Complex numbers are handled by a separate module (cmath), so the math module can only be used with integers and floating point numbers. This was done on purpose, as dealing with complex numbers requires more effort than most people need for general functions. Unless otherwise indicated, all math arguments can be integers or floats.

How to do it...

  1. The ceil(x) function returns the smallest integer >= x. Normal mathematical rounding is not used, so 12.3 will be rounded up to 13, rather than rounding up starting at 12.5; any value greater than x.0 will be rounded up to the next value, as shown in the following screenshot:

  1. The copysign(x, y) function returns a float value with an absolute value of x but with the sign of y. If the OS supports...
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