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Functional Python Programming

Functional Python Programming

By : Steven F. Lott
4 (9)
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Functional Python Programming

Functional Python Programming

4 (9)
By: Steven F. Lott

Overview of this book

This book is for developers who want to use Python to write programs that lean heavily on functional programming design patterns. You should be comfortable with Python programming, but no knowledge of functional programming paradigms is needed.
Table of Contents (18 chapters)
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17
Index

Simple numerical recursions

We can consider all numeric operations to be defined by recursions. For more depth, read about the Peano axioms that define the essential features of numbers. http://en.wikipedia.org/wiki/Peano_axioms is one place to start.

From these axioms, we can see that addition is defined recursively using more primitive notions of the next number, or successor of a number, n, Simple numerical recursions.

To simplify the presentation, we'll assume that we can define a predecessor function,Simple numerical recursions, such that Simple numerical recursions, as long as Simple numerical recursions

Addition between two natural numbers could be defined recursively as follows:

Simple numerical recursions

If we use more common Simple numerical recursions and Simple numerical recursions instead of Simple numerical recursions and Simple numerical recursions, we can see that Simple numerical recursions.

This translates neatly in Python, as shown in the following command snippet:

def add(a,b):
    if a == 0: return b
    else: return add(a-1, b+1)

We've simply rearranged common mathematical notation into Python. The if clauses are placed to the left instead of the right.

Generally, we don't provide our own functions in Python to do simple...

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