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Python Essentials

You're reading from   Python Essentials Modernize existing Python code and plan code migrations to Python using this definitive guide

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781784390341
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (17) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Simple Data Types 3. Expressions and Output 4. Variables, Assignment and Scoping Rules 5. Logic, Comparisons, and Conditions 6. More Complex Data Types 7. Basic Function Definitions 8. More Advanced Functions 9. Exceptions 10. Files, Databases, Networks, and Contexts 11. Class Definitions 12. Scripts, Modules, Packages, Libraries, and Applications 13. Metaprogramming and Decorators 14. Fit and Finish – Unit Testing, Packaging, and Documentation 15. Next Steps Index

Using the higher-order functions


A function which accepts a function as an argument, or returns a function as a result, is called a higher-order function. Python has a number of higher-order functions. The most commonly-used of these functions are map(), filter(), and sorted(). The itertools module contains numerous additional higher-order functions.

The map() and filter() functions are generators; their results must be consumed. Both of them apply a function to a collection of values. In the case of map(), the results of the function are yielded. In the case of filter(), if the result of the function is true, the original value is yielded.

Here's how we can apply a very simple function—so simple we coded it as a lambda—to a sequence of values:

>>> mapping= map( lambda x: 2*x**2-2, range(5) )
>>> list(mapping)
[-2, 0, 6, 16, 30]

The function is just an expression, 2*x**2-2. We've applied this function to values given by the range() object. The result is a generator, and we...

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