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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

Chapter 8. More Advanced Functions

In Chapter 7, Basic Function Definitions, we looked at the core features of defining a function which returns a single result. Even functions with an implicit return statement at the end of the suite of statements, or a function with a return statement that has no expression, return a result: the None object is the default return value. In this chapter, we'll look at functions which generate multiple results. A generator function defines an iterable: it can be used with a for statement. This means that the generator doesn't produce a single object with all of the items in the result; instead it produces each item of the result separately.

Python offers generator expressions and comprehensions which complement the idea of generator functions. We can write simple expressions that represent a sequence of values which is generated one item at a time. We can use generator expressions to create list, set, or dict objects via a comprehension...

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