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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 for statement with iterable collections

Python allows us to use the for statement with any kind of collection. We can write a statement like for x in coll to process list, set, or the keys of a dict. This works because all of the Python collections have common abstract base classes, defined in the collections.abc module.

This works via a common feature of the base classes, Sequence, Set, and Mapping. The Iterable mix in the class is part of each class definition. The implementation of this abstraction is our guarantee that all of the built-in collections will cooperate with the for statement.

Let's open up the internals to see how it works. We'll use this compound for statement as a concrete example:

for x in coll:
    print(x)

Conceptually, this compound statement starts with something very much like this assignment: coll_i=iter(coll). This will get an iterator object for the coll collection. This iter() function will leverage the special method __iter__() to produce the...

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