Strengthen your understanding of Python functions through lambda expressions, recursion, partial application, and techniques for passing, returning, and storing functions. You will use higher-order functions from Python’s standard library and design your own functional abstractions.
Explore generators and iterators for processing large datasets efficiently while keeping code readable. You will also work with functional objects, currying, and composition to improve modularity and reuse.
Advance to advanced type annotations, Python generics, functors, and monads, learning how to implement and compose these patterns in Python. This intermediate path is intended for Python programmers who are comfortable with core syntax and want to apply functional programming techniques in their projects.
