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Functional Python Programming

You're reading from   Functional Python Programming Create succinct and expressive implementations with functional programming in Python

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784396992
Length 360 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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Toc

Table of Contents (18) Chapters Close

Preface 1. Introducing Functional Programming 2. Introducing Some Functional Features FREE CHAPTER 3. Functions, Iterators, and Generators 4. Working with Collections 5. Higher-order Functions 6. Recursions and Reductions 7. Additional Tuple Techniques 8. The Itertools Module 9. More Itertools Techniques 10. The Functools Module 11. Decorator Design Techniques 12. The Multiprocessing and Threading Modules 13. Conditional Expressions and the Operator Module 14. The PyMonad Library 15. A Functional Approach to Web Services 16. Optimizations and Improvements Index

Using zip() to structure and flatten sequences

The zip() function interleaves values from several iterators or sequences. It will create n tuples from the values in each of the n input iterables or sequences. We used it in the previous section to interleave data points from two sets of samples, creating two tuples.

Note

The zip() function is a generator. It does not materialize a resulting collection.

The following is an example that shows what the zip() function does:

>>> xi= [1.47, 1.50, 1.52, 1.55, 1.57, 1.60, 1.63, 1.65,... 1.68, 1.70, 1.73, 1.75, 1.78, 1.80, 1.83,] 
>>> yi= [52.21, 53.12, 54.48, 55.84, 57.20, 58.57, 59.93, 61.29,... 63.11, 64.47, 66.28, 68.10, 69.92, 72.19, 74.46,] 
>>> zip( xi, yi )
<zip object at 0x101d62ab8>
>>> list(zip( xi, yi ))
[(1.47, 52.21), (1.5, 53.12), (1.52, 54.48), (1.55, 55.84), (1.57, 57.2), (1.6, 58.57), (1.63, 59.93), (1.65, 61.29), (1.68, 63.11), (1.7, 64.47), (1.73, 66.28), (1.75, 68.1), (1.78, 69.92), (1.8...
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