Python 3 Deep Dive Part 4 Oop High Quality [patched] -

Python 3: Deep Dive (Part 4 - OOP), created by Dr. Fred Baptiste, is widely regarded as one of the most comprehensive and high-quality advanced Object-Oriented Programming (OOP) resources available on Udemy. Unlike introductory courses that teach "how" to use a class, this course focuses on the "why" and the internal mechanics of how Python executes OOP code at a lower level. Course Highlights & Core Content

  • property provides a convenient descriptor for managed attribute access:

    This violates LSP because a Square changes both dimensions when one is set. python 3 deep dive part 4 oop high quality

    1. Classes and instances: the basics and important details

    • Class definition: classes are created with the class statement. A class object is itself an instance of type (the metaclass).
    • Instances store per-object state in dict (unless slots used). Attribute access follows a defined lookup order: instance dict → class dict → base classes → descriptors.
    • Methods are functions defined in class body. Accessing a function on an instance produces a bound method object which wraps the function and the instance, supplying self automatically.
    • Initializers: init configures a new instance after allocation; new is responsible for creating the instance (used for immutable types or custom allocation).
    • Recommended practice: keep init simple; prefer factory functions or classmethods for complex construction logic.

    Basic property usage

    class Temperature:
        def __init__(self, celsius):
            self._celsius = celsius
    
    @property
    def celsius(self):
        return self._celsius
  • Python 3: Deep Dive (Part 4 - OOP), created by Dr. Fred Baptiste, is widely regarded as one of the most comprehensive and high-quality advanced Object-Oriented Programming (OOP) resources available on Udemy. Unlike introductory courses that teach "how" to use a class, this course focuses on the "why" and the internal mechanics of how Python executes OOP code at a lower level. Course Highlights & Core Content

  • property provides a convenient descriptor for managed attribute access:

    This violates LSP because a Square changes both dimensions when one is set.

    1. Classes and instances: the basics and important details

    • Class definition: classes are created with the class statement. A class object is itself an instance of type (the metaclass).
    • Instances store per-object state in dict (unless slots used). Attribute access follows a defined lookup order: instance dict → class dict → base classes → descriptors.
    • Methods are functions defined in class body. Accessing a function on an instance produces a bound method object which wraps the function and the instance, supplying self automatically.
    • Initializers: init configures a new instance after allocation; new is responsible for creating the instance (used for immutable types or custom allocation).
    • Recommended practice: keep init simple; prefer factory functions or classmethods for complex construction logic.

    Basic property usage

    class Temperature:
        def __init__(self, celsius):
            self._celsius = celsius
    
    @property
    def celsius(self):
        return self._celsius
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