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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

Mutable and immutable argument values


In some programming languages, there are multiple function evaluation strategies, including call-by-value and call-by-reference. In call-by-value semantics, copies of argument values are assigned to the parameter variables in a function. In call-by-reference semantics, a reference to a variable is used in the function. This means that an assignment statement inside a function could replace the value of a variable outside the function. Neither of these types of semantics apply to Python.

Python uses a mechanism named "call-by-sharing" or "call-by-object". A function is given a reference to the original object. If that object is mutable, the function can mutate the object. The function cannot, however, assign to variables outside the function via the parameter variables. The function shares the objects, not the variables to which the objects are assigned.

One of the most important consequences is that the body of a function can assign new values to parameter...

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