Functional Python Programming

Chapter 11

Summary

In this chapter, we've looked at two kinds of decorators: the simple decorator with
no arguments and parameterized decorators. We've seen how decorators involve
an indirect composition between functions: the decorator wraps a function (defined
inside the decorator) around another function.

Using the functools.wraps() decorator assures that our decorators will properly
copy attributes from the function being wrapped. This should be a piece of every
decorator we write.

In the next chapter, we'll look at the multiprocessing and multithreading techniques
that are available to us. These packages become particularly helpful in a functional
programming context. When we eliminate a complex shared state and design around
nonstrict processing, we can leverage parallelism to improve the performance.