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Functional Python Programming

You're reading from   Functional Python Programming Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788627061
Length 408 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (18) Chapters Close

Preface 1. Understanding Functional Programming FREE CHAPTER 2. Introducing Essential Functional Concepts 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 17. Other Books You May Enjoy

The iter() function with a sentinel value


The built-in iter() function creates an iterator over an object of one of the collection classes. The list, dict, and set classes all work with the iter() function to provide an iterator object for the items in the underlying collection. In most cases, we'll allow the for statement to do this implicitly. In a few cases, however, we need to create an iterator explicitly. One example of this is to separate the head from the tail of a collection. 

Other uses include building iterators to consume the values created by a callable object (for example, a function) until a sentinel value is found. This feature is sometimes used with the read() function of a file to consume items until some end-of-line or end-of-file sentinel value is found. An expression such as iter(file.read, '\n') will evaluate the given function until the sentinel value, '\n', is found. This must be used carefully: if the sentinel is not found, it can continue reading zero-length strings...

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