Programming is an art. And just like in art, selecting the right brushes and paints is essential to producing the best works. Object-Oriented Programming (OOP) in Python is one such skill.
Choosing the right programming language is a crucial part of any project, and it can either lead to a smooth and enjoyable development or a complete nightmare. Therefore, it is best to use the language that best suits your use case.
That is the main reason to learn object-oriented programming in Python, which is also one of the most popular programming languages.
Let's learn!
An example of a program in Python
Before we get into the subject, let's ask a question: have you ever written a Python program like the following?
secret_number = 20
while True:
number = input('Guess the number: ')
try:
number = int(number)
except:
print('Sorry that is not a number')
continue
if number != secret_number:
if number > secret_number:
print(number, 'is greater than the secret number')
elif number < secret_number:
print(number, 'is less than the secret number')
else:
print('You guessed the number:', secret_number)
break
This code is a simple number guesser. Try copying it into a Python file and running it on your system. It serves its purpose perfectly.
But here a big problem arises: what if we ask you to implement a new feature ? It could be something simple, for example:
«If the input is a multiple of the secret number, it gives a hint to the user.»
The program would quickly become complex and turkey whatsapp number datacumbersome as the number of functions and therefore the total number of nested conditionals increased.
That is precisely the problem that object-oriented programming attempts to solve.
Requirements to learn Python OOP
Before you dive into object-oriented programming, we highly recommend that you have a basic understanding of Python.
Sorting through the topics considered “basic” can be difficult. That’s why we’ve designed a cheat sheet with the main concepts needed to learn object-oriented programming in Python.
Beginner's Guide to Object Oriented Programming (OOP) in Python
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