Python 3: Deep Dive (Part 1 – Functional)

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

Created by: Dr. Fred Baptiste
Software Engineer and Mathematician

What Will I 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

Requirements

• 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.)

Target audience

• 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.