Functional Python Programming

Summary

In this chapter, we looked at different ways to use namedtuple objects to implement more complex data structures. The essential features of a namedtuple are a good fit with functional design. They can be created with a creation function and accessed by position as well as name.

We looked at how to use immutable namedtuples instead of stateful object definitions. The core technique was to wrap an object in an immutable tuple to provide additional attribute values.

We also looked at ways to handle multiple data types in Python. For most arithmetic operations, Python's internal method dispatch locates proper implementations. To work with collections, however, we might want to handle iterators and sequences slightly differently.

In the next two ...