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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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Toc

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

Consequences and next steps


There are three important consequences to the way a for statement uses coll_i= iter(x) and x=next(coll_i):

  • We can write generator expressions which implicitly have the required interface to work as an Iterable class

  • Python gives us a way to write generator functions which will work as an Iterable class

  • We can create our own classes which implement the special method names required to implement the Iterable abstract base class

We'll start by writing generator expressions. We can use these to create list, set, and mapping "comprehensions." A comprehension is an expression that defines the contents of a collection.

We'll look at writing generator functions. The yield statement changes the semantics of a function from being "simple" (or "ordinary") to being a generator.

While class definitions are the subject of Chapter 11, Class Definitions, we won't dig deeply into how we can create our own unique collections. Python already offers so many collections that defining our...

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