Udemy - Learn Python By Doing Practical Tasks

Udemy - Learn Python By Doing Practical Tasks

Language: English (US)

We will cover Python Core, including Data Types, Functions, OOP, and at the end you will get Final Assignment.

https://www.udemy.com/course/learn-python-by-doing-practical-tasks/

This course is different from other courses that you might find on Udemy. Primarily, we will solve practical tasks using the Python programming language. I will walk through the description of each task and explain in detail how to solve them. Make sure to have fun!

This course has 4 sections:

1. Data Types

2. Functions

3. OOP in Python

4. Final Assignment

In each section, we will solve practical tasks:

1. Numbers, Lists, Tuples, Strings, Dictionary.

2. Function Arguments, Function Decorators, Function Recursion.

3. OOP Basics, Class-Related Decorators, Exceptions, Magic Methods

4. In the Final Assignment you will code an RSS parser.

In the Data Types section, we will delve into the core building blocks of Python. You'll gain a solid understanding of numbers, lists, tuples, strings, and dictionaries, and how to manipulate and utilize these data types effectively in your programs.

The Functions section will cover function arguments, decorators, and recursion. You’ll learn how to write functions that are flexible and reusable. We will also explore the powerful concept of decorators, which allow you to modify the behavior of functions, and recursion, a technique where a function calls itself.

The OOP in Python section will provide a detailed explanation of object-oriented programming concepts. We will explore the basics of OOP, class-related decorators, exceptions, and magic methods. You will learn about programming paradigms, the difference between class and instance, and OOP principles such as abstraction, encapsulation, polymorphism, and inheritance. Additionally, we will discuss data/information hiding, including public, private, and protected access levels.

Besides solving practical tasks, the course includes quick overviews on using decorators and a detailed explanation of Python OOP concepts. By the end, you'll have a comprehensive understanding of Python functions, data types, and object-oriented programming, enabling you to write clean, efficient, and well-structured code.