Python 3: Deep Dive (Part 1 - Functional)

This is Part 1 of a series of courses intended to dive into the inner mechanics and more complicated aspects of Python 3.

This is not a beginner course!

If you've been coding Python for a week or a couple of months, you probably should keep writing Python for a bit more before tackling this series.

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

Python 3: Deep Dive (Part 1 - Functional)
Size: 36.9 GB
Contains: 493 Files, 11 Folders

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

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.)

FOR EDUCATIONAL PURPOSES ONLY!