The itertools chapter of the Python library documentation, Itertools Recipes, is outstanding. The basic definitions are followed by a series of recipes that are extremely clear and helpful. Since there's no reason to reproduce these, we'll reference them here. They should be considered as required reading on functional programming in Python.
Note
10.1.2 section, Itertools Recipes of Python Standard Library, is a wonderful resource. See
https://docs.python.org/3/library/itertools.html#itertools-recipes.
It's important to note that these aren't importable functions in the itertools modules. A recipe needs to be read and understood and then, perhaps, copied or modified before inclusion in an application.
The following table summarizes some of the recipes that show functional programming algorithms built from the itertools basics:
|
Function Name |
Arguments |
Results |
|---|---|---|
|
|
|
This returns the first n items of the iterable as a list. This wraps a use of |