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    Python 3: Deep Dive (Part 4 – OOP)

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    Python 3: Deep Dive (Part 4 - OOP) - Online Course Download
    Python 3: Deep Dive (Part 4 - OOP) - Online Course Download
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    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
    Metaprogramming

    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

    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

    Course Size Details :

    35 hours on-demand video
    148 downloadable resources
    Full lifetime access
    Access on mobile and TV
    Certificate of completion

    View Demo

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