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Modern Python Cookbook

You're reading from   Modern Python Cookbook The latest in modern Python recipes for the busy modern programmer

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786469250
Length 692 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Numbers, Strings, and Tuples 2. Statements and Syntax FREE CHAPTER 3. Function Definitions 4. Built-in Data Structures – list, set, dict 5. User Inputs and Outputs 6. Basics of Classes and Objects 7. More Advanced Class Design 8. Input/Output, Physical Format, and Logical Layout 9. Testing 10. Web Services 11. Application Integration

Writing explicit types on function parameters


The Python language allows us to write functions (and classes) which are entirely generic with respect to data type. Consider this function as an example:

    def temperature(*, f_temp=None, c_temp=None): 
        if c_temp is None: 
            return {'f_temp': f_temp, 'c_temp': 5*(f_temp-32)/9} 
        elif f_temp is None: 
            return {'f_temp': 32+9*c_temp/5, 'c_temp': c_temp} 
        else: 
            raise Exception("Logic Design Problem") 

This follows three recipes shown earlier: Using super flexible keyword parameters, Forcing keyword-only arguments with the * separator from this chapter, and Designing complex if...elif chains from Chapter 2, Statements and Syntax.

This function will work for argument values of any numeric type. Indeed, it will work for any data structure that implements the +, -, *, and / operators.

There are times when we do not want our functions to be completely generic. In some cases, we would like to make...

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