Object-Oriented Programming: Its Advantages & How it Works with Python

Object-Oriented Programming: Its Advantages & How it Works with Python

What is Python?

Python is a general-purpose high-level programming language. It is designed to be simple to read and easy to implement. It is open-source so anyone can use it anywhere without having to pay any fee. Python has several uses and benefits. It is largely used for video games, mobile application development, machine learning, and web development. The programming language does not rely on internet connections such as Spectrum Specials or others to run its codes.

What Is Object-Oriented Programming?

Object-oriented programming is an approach that uses the idea of ‘objects’ to represent methods and data. It is also used to create a code that is reusable and non-redundant. The program is divided into independent objects or numerous mini-programs. Each object is a representation of a different part of the application; it has its own logic and data through which it communicates with other objects. 

OOP in Python

As a multi-paradigm programming language, Python supports a number of programming approaches. One of its most popular approaches to solving a programming problem is by creating objects with unique attributes and behavior (object-oriented programming). To under this concept take the example of a bird. Its name, age, and color are its attributes while singing and chirping is its behavior. 

Here are some tips/steps to do object-oriented programming with Python.

#1. Set Attributes in the Constructor

First of all, you need to set all attributes in one place to make sure they exist and are also discoverable easily. Python offers a convenient way to make this possible. It has a constructor in which you are to place all the attributes of an object. 

#2. Keep Class-level and Instance-level Data & Methods Separate

You need to make sure that instance-level data is not interfering with the way the class works generally. Hence it is important to keep it separate from class-level data. For example, if there are changes made in an individual bank account those changes must not affect the way other accounts are being operated.

#3. Know What is Static

Place static functions outside of the class. For example, a function that only does basic formatting does not need to have access to the class’s data and methods. Python allows you to mark such functions as static. This helps save memory as well as improves the readability of the code (as it instantly tells one that the method is a separate piece of code. 

#4. Use Docstrings

Unlike external documentation such as ReadMe, docstrings do not become outdated very quickly. This is primarily because one remembers to update them when the code is being updated. Also, the docstring has the ability to describe what a function does which is not the case with most conventional source code comments. 

Why Use Object-Oriented Programming

Object-oriented programming has numerous advantages for developers. Let’s have a look at some of them. 

#1. Problem Solving

When you dissect a problem into smaller chunks and analyze each component separately, finding a solution becomes easier. This is the basic approach of OOP; it breaks down your code into small objects. These broken components have their individual attributes and behavior. Which can be used to make solutions for different problems..Also, these objects can be reused again and again; they do not become redundant. 

#2. Security

Object-oriented programming allows you to hide data through an abstraction mechanism. You get to choose and filter out the data you wish to expose. By making limited data viewable, you can enhance its security. 

#3. Code Maintenance

The feature of code maintenance in object-oriented programming facilitates the user and saves them from doing re-work. It is much more convenient to add changes to an existing code and use it for additional purposes and functions than having to make one all over again. 

#4. Faster Development & Reduced Costs

OOP language comes with a rich library of objects. And the codes developed during projects can be reused for future tasks. This convenience of reuse enables faster development and helps lower the overall development cost. 

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