Python-DataAbstarction.pptx
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Data abstraction is the process of hiding unnecessary implementation details and exposing only essential information to the user. It separates the interface from the implementation. In Python, data abstraction can be achieved through abstract classes, which cannot be instantiated directly but can be inherited. Abstract classes define a common API for subclasses and allow concrete methods to be implemented only once for all subclasses. Data abstraction improves flexibility, reusability, and makes working on large codebases with teams easier.
Python-DataAbstarction.pptx
- 2. What is Data Abstraction? The process by which data and functions are defined in such a way that only essential details can be seen and unnecessary implementations are hidden is called Data Abstraction. The main focus of data abstraction is to separate the interface and the implementation of the program.
- 3. Data Abstraction in Python Abstraction is really powerful for making complex tasks and codes simpler when used in Object-Oriented Programming. It reduces the complexity for the user by making the relevant part accessible and usable leaving the unnecessary code hidden. Also, there are times when we do not want to give out sensitive parts of our code implementation and this is where data abstraction can also prove to be very functional. Data Abstraction in Python can be achieved through creating abstract classes and inheriting them later
- 4. Abstract Class The classes that cannot be instantiated. This means that we cannot create objects of an abstract class, and these are only meant to be inherited. Then an object of the derived class is used to access the features of the base class. These are specifically defined to lay a foundation of other classes that exhibit common behavior or characteristics.
- 6. Why Use Abstract Base Class Defining an Abstract Base Class lets us create a common Application Programming Interface (API) for multiple subclasses. It is useful while working in large teams and code-bases so that all of the classes need not be remembered and also be provided as library by third parties. from abc import ABC class MyABC(ABC): pass
- 7. Concrete Methods in Abstract Class there are methods that have the same implementation for all subclasses as well. There are characteristics that exhibit the properties of the abstract class and so, must be implemented in the abstract class itself. Otherwise, it will lead to repetitive code in all the inherited classes. These methods are called concrete methods. An abstract class can have both abstract methods and concrete methods. 1. We always need to provide an implementation of the abstract method in the child class even when implementation is given in the abstract class. 2. A subclass must implement all abstract methods that are defined in the parent class otherwise it results in an error.
- 8. Example of Data Abstraction
- 10. Why Data Abstraction is important? Data Abstraction firstly saves a lot of our time as we do not have to repeat the code that may be the same for all the classes. Moreover, if there are any additional features, they can be easily added, thus improving flexibility. Not to mention, working in large teams becomes easier as one won’t have to remember every function and the basic structure can be inherited without any confusions.