Why We Use Oops Concept in Python Programming

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Why We Use Oops Concept in Python
Programming Python is a powerful, high-level,
and widely used programming language. We may
create apps utilising an Object-Oriented
methodology thanks to it. Classes and objects are
simple to build and utilise in Python. By doing
so, it concentrates on creating reusable code.
Making things is a common approach to
issue-solving. All cutting-edge software
development, machine learning applications, and
web development employ the most recent Python 3
version. It is a good toolkit for both new and
seasoned programmers who are familiar with
languages like C and Java. In essence, Python
is not a fully object-oriented programming
language like Java or some other ones. This
means that Python has dependable, concise syntax
and provides the oops notion with or without any
issues. It also provides the following benefits
to the coder.
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• Easy to Learn Code
• Free and High-Level Language
• Portable
• Large Collection of Packages and Modules

• Why the object-oriented (oops) concept?
• Then why do we need Oops in Python when
  everything is working properly? After all, as we
  all know, oops (object-oriented programming)
  also offers some advantages to programming
  languages like
• Modularity for simpler problem-solving
• Reusing code by inheriting it
• Adaptability via polymorphism
• Successful problem-solving, etc.
• These ideas elevate Python to a more distinctive,
  well-known, and contemporary language. Let's
  begin an in-depth study of how Python's Oops
  pillars function. Check out the Python course
  online to learn more about the Oops concept.
• Oops Concept
• Python is a great programming language that
  supports Object-Oriented Programming systems and
  is called OOPS.
• Class
• Objects
• Encapsulation
• Inheritance

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• The variables that make up a class are known as
  attributes.
• With the dot (.) operator, attributes can always
  be retrieved and are always public. For example
  Myclass.Myattribute
• Objects in Python
• The object is an entity that is connected to a
  state and activity. Any physical device, such as
  a mouse, keyboard, chair, table, pen, etc., may
  be used. Arrays, dictionaries, strings, floating-
  point numbers, and even integers are all
  examples of objects. Any single string or
  integer, more specifically, is an object. A list
  is an object that may house other things, the
  number 12 is an object, the text "Hello, world"
  is an object, and so on. You may not even be
  aware of the fact that you have been using
  items.
• An object includes
• State An object's properties serve as a
  representation of it. Additionally, it reflects
  an object's characteristics.
• Behaviour The methods of an object serve as a
  representation of behaviour. It also
• shows how one object reacts to other objects.
• Identity It gives a thing a special name and
  makes it possible for one object to communicate
  with another.

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• Let's use the example of the class dog (described
  above) to better grasp the state, behaviour, and
  identity.
• The identity may be regarded as the dog's name.
• Breed, age, and colour of the dog are examples of
  states or attributes.
• You may infer from the behaviour whether the dog
  is eating or sleeping.
• Encapsulation
• It explains the concept of data wrapping and the
  techniques that operate on data as a single
  unit. This restricts direct access to variables
  and procedures and can avoid data alteration by
  accident. A variable can only be altered by an
  object's method in order to prevent inadvertent
  modification. These variables fall under the
  category of private variables.
• A class, which encapsulates all the data that is
  contained in its member functions, variables,
  etc., is an example of encapsulation.
• Inheritance
• One class's ability to derive or inherit
  properties from another class is known as
  inheritance.
• The advantages of inheritance include
• It accurately depicts relationships in the real
  world.
• It offers a code's reusability. We don't need to
  keep writing the same code. It enables us to
  expand a class's functionalities without changing
  the class itself.
• Because it is transitive, if class B inherits
  from additional class A, all of class B's
• subclasses will also automatically inherit from
  class A.

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Conclusion If you are a Python programmer, you
can learn more about the OOPS concept by checking
out the online Python course. Tags
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