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PythonML
Abstraction in Python Programming
- Python Automation and Machine Learning for ICs -
- An Online Book -
Python Automation and Machine Learning for ICs                                                           http://www.globalsino.com/ICs/        


Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

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Abstraction in Python programming, as well as in programming in general, refers to the concept of simplifying complex systems by modeling classes based on the essential characteristics and ignoring the irrelevant details. In other words, it involves hiding the complex implementation details and showing only the necessary features of an object. Abstraction is one of the fundamental principles of object-oriented programming (OOP), and it helps in managing the complexity of software systems by breaking them down into smaller, more manageable parts. The key components of abstraction in Python include: 

  1. Classes and Objects: 

    Abstraction is often implemented through the use of classes and objects. A class is a blueprint that defines the properties and behaviors of objects, while an object is an instance of a class.

    class Car: 

    def __init__(self, make, model): 

    self.make = make 

    self.model = model 

    def start_engine(self): 

    print(f"The {self.make} {self.model} is starting the engine.")  

  2. Encapsulation: 

    This is another aspect of abstraction that involves bundling the data (attributes) and methods (functions) that operate on the data into a single unit known as a class. This helps in hiding the internal details of how the data is implemented. 

    class Circle: 

    def __init__(self, radius): 

    self.radius = radius 

    def area(self): 

    return 3.14 * self.radius * self.radius  

  3. Abstract Classes and Methods: 

    Python supports abstract classes and methods through the ABC (Abstract Base Class) module. Abstract classes cannot be instantiated, and they may contain abstract methods that must be implemented by concrete (non-abstract) subclasses. 

    from abc import ABC, abstractmethod 

    class Shape(ABC): 

    @abstractmethod 

    def area(self): 

    pass  

Using abstraction allows programmers to focus on essential features, promoting code reusability, and making it easier to understand and maintain code. It also facilitates a clear separation of concerns between different parts of a program. 

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