Python 3: Deep Dive (Part 1 – Functional)

Variables, Functions and Functional Programming, Closures, Decorators, Modules and Packages

What you’ll learn

An in-depth look at variables, memory, namespaces and scopes
A deep dive into Python’s memory management and optimizations
In-depth understanding and advanced usage of Python’s numerical data types (Booleans, Integers, Floats, Decimals, Fractions, Complex Numbers)
Advanced Boolean expressions and operators
Advanced usage of callables including functions, lambdas and closures
Functional programming techniques such as map, reduce, filter, and partials
Create advanced decorators, including parametrized decorators, class decorators, and decorator classes
Advanced decorator applications such as memoization and single dispatch generic functions
Use and understand Python’s complex Module and Package system
Idiomatic Python and best practices
Understand Python’s compile-time and run-time and how this affects your code
Avoid common pitfalls

Basic introductory knowledge of Python programming (variables, conditional statements, loops, functions, lists, tuples, dictionaries, classes).
You will need Python 3.6 or above, and a development environment of your choice (command line, PyCharm, Jupyter, etc.)

Anyone with a basic understanding of Python that wants to take it to the next level and get a really deep understanding of the Python language and its data structures.
Anyone preparing for an in-depth Python technical interview.