Object in Python 🚘

Just look around, everything you see can be treated as an object.

For instance a Car, Dog, your Laptop are all objects.

An Object can be defined using 2 things:
- Properties: that describe an object
- Behaviour: the functions that an object can perform

...⬇️

For example, a Car is an object that has properties such as color & model, and behaviours such as accelerating, braking & turning.

But, how do we create these objects❓🤔

Class in Python 🦾

Let's define a class Car & create it's Object ☝️

A class is like a blueprint for creating objects.

It defines a set of properties & functions (methods) that will be common to all objects created from the class.

Inheritance in Python 🪢

check this out --------------------☝️

Let's say we want to create an Electric car & don't want to define all the properties and methods of the basic Car class.

Inheritance helps us to inherit all the properties/methods of parent class & add new ones or override existing.

Encapsulation in Python 🚡

(Here's an example) ---------- ☝️

Encapsulation helps to bundle data and methods inside a class, restricting direct access to certain attributes and methods.

We use private attributes/methods (with a _ or __ prefix) to achieve this.

Abstraction in Python 🎭

Here's an example -------------------☝️

This concept focuses on exposing only essential information to the outside world while hiding implementation details.

We use abstract classes and methods to define a common interface.

At this point if Abstraction and Encapsulation confuse you! 👇

Abstraction conceals the implementation details, but doesn't hide the data itself.

On the other hand, Encapsulation hides the data and restricts unwanted use from external sources.

Polymorphism in python 🕳

This allows us to use a single interface for different data types or classes. We can achieve this through method overriding, where a subclass provides a different implementation for a method defined in its parent class.

Let's understand with example -☝️

📚 9 must-have Python developer tools.

1. PyCharm IDE

2. Jupyter notebook

3. Keras

4. Pip Package

5. Python Anywhere

6. Scikit-Learn

7. Sphinx

8. Selenium

9. Sublime Text