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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

Building namedtuples with functional constructors


There are three ways we can build namedtuple instances. The choice of technique we use is generally based on how much additional information is available at the time of object construction.

We've shown two of the three techniques in the examples in the previous section. We'll emphasize the design considerations here. It includes the following choices:

  • We can provide the parameter values according to their positions. This works out well when there are one or more expressions that we were evaluating. We used it when applying the haversine() function to the start and end points to create a Leg object.

    Leg(start, end, round(haversine(start, end),4))
    
  • We can use the *argument notation to assign parameters according to their positions in a tuple. This works out well when we're getting the arguments from another iterable or an existing tuple. We used it when using map() to apply the float() function to the latitude and longitude values.

    Point(*map...

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