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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 properties

Python allows us to create methods that can be used as if they were attributes. This gives us very pleasant syntax for getting a derived value from an object. A method that appears to be an attribute is called a property. We'll extend our Point class with two more methods:

    @property
    def r(self):
        return math.sqrt(self.x**2 + self.y**2)
    @property
    def θ(self):
        return math.atan2(self.y, self.x)

We've defined two functions using the @property decorator. This decorator can be used with a function that has only the instance variable, self, as a parameter.

Here's how we can use these properties:

>>> p = Point(12, 5)
>>> round(p.r, 1)
13.0
>>> round(math.degrees(p.θ), 1)
22.6

We've accessed these methods as if they were simple attributes of the object, p. Using p.r and p.θ can be more pleasant than having to write p.r() and p.θ() in a complex formula. The preceding properties are explicitly...

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