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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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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 2. Utilizing the Python Interpreter FREE CHAPTER 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

Working with complex numbers


Because complex numbers, that is, numbers that have an imaginary element, cannot be used with the regular math module functions, the cmath module is available for these special numbers.

As a built-in module, it is always available for import. Of note, the functions accept integers, floats, and complex numbers as arguments. They will also accept any Python object that has a __complex__() or __float__() method as part of its class.

On systems that support signed zeros, branch cuts (https://en.wikipedia.org/wiki/Branch_point#Branch_cuts) are continuous on both sides of the cut, as the sign of the zero designates which side of the cut the branch is on. On systems that do not support signed zeros, continuity is noted for the specific functions in the next section.

How to do it...

The following functions and constants operate like their normal math cousins, except where noted:

  • exp(x): Calculate math constant e to the power of x.
  • log(x[, base]): There is one branch cut—from...
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