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Modern Python Cookbook

You're reading from   Modern Python Cookbook 133 recipes to develop flawless and expressive programs in Python 3.8

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800207455
Length 822 pages
Edition 2nd 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 (18) Chapters Close

Preface 1. Numbers, Strings, and Tuples 2. Statements and Syntax FREE CHAPTER 3. Function Definitions 4. Built-In Data Structures Part 1: Lists and Sets 5. Built-In Data Structures Part 2: Dictionaries 6. User Inputs and Outputs 7. Basics of Classes and Objects 8. More Advanced Class Design 9. Functional Programming Features 10. Input/Output, Physical Format, and Logical Layout 11. Testing 12. Web Services 13. Application Integration: Configuration 14. Application Integration: Combination 15. Statistical Programming and Linear Regression 16. Other Books You May Enjoy
17. Index

Creating a partial function

When we look at functions such as reduce(), sorted(), min(), and max(), we see that we'll often have some argument values that change very rarely, if at all. In a particular context, they're essentially fixed. For example, we might find a need to write something like this in several places:

    reduce(operator.mul, ..., 1) 

Of the three parameters for reduce(), only one – the iterable to process – actually changes. The operator and the base value arguments are essentially fixed at operator.mul and 1.

Clearly, we can define a whole new function for this:

    def prod(iterable): 
        return reduce(operator.mul, iterable, 1) 

However, Python has a few ways to simplify this pattern so that we don't have to repeat the boilerplate def and return statements.

The goal of this recipe is different from providing general default values. A partial function doesn't provide a way for us to override the defaults...

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