Recipes
The itertools chapter of the Python library documentation 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 are the required reading materials on functional programming in Python.
Section 10.1.2, Itertools Recipes, in the Python Standard Library is a wonderful resource. Visit https://docs.python.org/3/library/itertools.html#itertools-recipes for more details.
These function definitions aren't importable functions in the itertools modules. These are ideas that need to be read and understood and then, perhaps, copied or modified before inclusion in an application.
The following table summarizes some recipes that show functional programming algorithms built from the itertools basics:
Function name | Arguments | Results |
---|---|---|
| ( | This generates all the subsets of the iterable. Each subset is actually a |
| ( |