Intellipaat Python training courses: https://intellipaat.com/python-certification-training-online/If you're from a non-technical background and wondering how...
If you're from a non-technical background and wondering how to learn Python, this video will help you get started. Python Programming is by far one of the most popular and versatile languages available to use. It's readable, concise, and quite versatile. Its versatility Python is used in many domains, including data science, machine learning, web development, game development, etc. However, it can be ab bit difficult to learn Python mainly because of the sheer volume of things you may have to learn. It can especially be difficult to learn python tutorial for non-programmers.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).
The OS module is a python module that provides the interface for interacting with the underlying operating system that Python is running.