This principle makes your code more concise and legible.Īs you may know, programmers spend much more time reading code than writing it. Object-Oriented programming allows you to reuse code by implementing abstraction. It means you can implement more features in less time without compromising the stability of a project. OOP Allows You to Code FasterĬoding faster doesn’t mean writing fewer lines of code. If you want to learn any of them after Python, it’ll be easier - you’ll find many similarities between languages working with objects. PHP (make sure to read the comparison between PHP and Python)Īll of these languages are either natively object-oriented or include options for object-oriented functionality.If you learn OOP in Python, you’ll be able to use it in the following: The following reasons will make you opt for using object-oriented programming in Python. Let’s see the main advantages of using OOP in Python. Some examples are Django, Kivy, pandas, NumPy, and TensorFlow. ![]() Many Python frameworks and libraries use this paradigm to build their codebase. OOP allows you to create secure and reliable software. Why Do We Use Object-Oriented Programming in Python? You build objects that store data and contain specific kinds of functionality. This compartmentalization is the central concept of Object-Oriented Programming. For example, consider calculators: A calculator can be an object.Īs you may notice, the data (attributes) are always nouns, while the behaviors (method) are always verbs. You can think of objects as real things around you. So when we’re talking about OOP, we’re referring to a set of concepts and patterns we use to solve problems with objects.Īn object in Python is a single collection of data (attributes) and behavior (methods). Object-Oriented Programming (OOP) is a programming paradigm in which we can think about complex problems as objects.Ī paradigm is a theory that supplies the base for solving problems. What Is Object-Oriented Programming in Python? Now you have these concepts crystal clear, you can move forward with understanding object-oriented programming. Open a Python Shell: Open a terminal and type python or python3 depending on your system.Print(number, 'is greater than the secret number') Basically, it is a blend of more than one type of inheritance.Before digging into the matter, let us pose a question: have you ever written a Python program like the one below? secret_number = 20 Hybrid inheritance: This form combines more than one form of inheritance. Hierarchical inheritance More than one derived classes are created from a single base.ĥ. Multilevel inheritance: When we have a child and grandchild relationship.Ĥ. We specify all parent classes as a comma-separated list in the bracket.ģ. Unlike Java and like C++, Python supports multiple inheritance. Multiple inheritance: When a child class inherits from multiple parent classes, it is called multiple inheritance. Single inheritance: When a child class inherits from only one parent class, it is called single inheritance. Print (obj.div(20, 10)) Different forms of Inheritance:ġ. There is no limit on the number of levels. Multi-level inheritance is archived when a derived class inherits another derived class. Multi-Level inheritance is possible in python like other object-oriented languages. Print (obj.div(20, 10)) Python Multi-Level inheritance: #child class Mathoperations inherits the base class Calculator The child class is the class that inherits from another class, also called ‘derived’ class. The parent class is the class being inherited from, also called ‘base’ class. In inheritance, the child class acquires the properties and can access all the data members and methods defined in the parent class. Inheritance provides code reusability to the program because we can use an existing class to create a new class instead of creating it from scratch. Inheritance is an important principle of the object-oriented paradigm. ![]() Inheritance in Python, Object-Oriented Programming, Types of Inheritance, Single Inheritance, Multiple Inheritance, Multilevel inheritance, Hierarchical inheritance, and Hybrid inheritance.
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