Python 3 Deep Dive Part 4

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Python Object Oriented Programming (OOP)































What you'll learn































Python Object Oriented Concepts































Classes































Methods and Binding































Instance, Class and Static Methods































Properties































Property Decorators































Single Inheritance































Slots































Descriptors































Enumerations































Exceptions































Requirements































Strong knowledge of functional Python































Closures and Decorators































Iterators, Iterables and Generators































Mapping Types, Hashing































Some exposure to basic OOP































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































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.































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.































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































Who this course is for?































Experienced intermediate Python developers who want a more in-depth look at Python OOP































Homepage































https://www.udemy.com/course/python-3-deep-dive-part-4/































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