Description
This Python3: Deep Dive Part 4 course takes a closer look at object oriented programming (OOP) in Python.
MAIN COURSE TOPICS
- what are classes and instances
- class data and function attributes
- properties
- instance, class and static methods
- polymorphism and the role special functions play in this
- single inheritance
- slots
- the descriptor protocol and its relationship to properties and functions
- enumerations
- exceptions
- metaprogramming (including metaclasses)
COURSE PREREQUISITES
Please note this is NOT a beginner level course. You must have a strong working knowledge of functional Python programming as well as some practical experience developing Python applications in order to fully benefit from this course.
- In-depth functional Python programming
- functions, closures, scopes, decorators (using and writing them)
- zip, sorted, any, all, and the itertools module in general
- sequences, iterables, iterators and generators (what they are and how to implement the corresponding protocols)
- generators, yield, and context managers
- mapping types, hashing and relation to object equality
- some prior knowledge of basic OOP concepts
- know how to work with Python virtual environments and pip install
- available Jupyter Notebook (freely available) to follow along with the course notebooks
- how to use git
[Please note that this is not a cookbook style course – I don’t show you how to solve specific problems, but rather a broad and in-depth look at how OOP works in the context of Python, that will allow you to apply these concepts and techniques to your own problems.]
Who this course is for:
- Experienced intermediate Python developers who want a more in-depth understanding of Python OOP
Requirements
- Strong knowledge of functional Python
- Closures and Decorators
- Iterators, Iterables and Generators
- Mapping Types, Hashing
- Some exposure to basic OOP
Last Updated 12/2022
Total Size: 14.4 GB
Download Links
Torrent Download
Python 3: Deep Dive (Part 4 – OOP).torrent (221 KB) | Mirror
