Free Download Learn Python By Doing Practical Tasks
Published 6/2024
Created by Ibrokhim Abdivokhidov
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 24m ) | Size: 1.2 GB
We will cover Python Core, including Data Types, Functions, OOP, and at the end you will get Final Assignment.
What you'll learn:
Apply the Python programming language to solve a variety of real-world problems and tasks efficiently.
Understand and apply Object-Oriented Programming principles using Python to create modular and reusable code.
Master the use of fundamental Python data types, including lists, tuples, strings, integers, dictionaries, and floats.
Develop the confidence to use Python for diverse coding challenges and projects.
Explore and use advanced Python features such as magic methods, decorators, recursion, and functions to write sophisticated and optimized code.
Requirements:
Familiarity with Python programming language (basic)
Access to a computer with an internet connection.
Description:
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 Types2. Functions3. OOP in Python4. Final AssignmentIn 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 Methods4. 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.
Who this course is for:
Programmers switching languages to Python.
Intermediate Python programmers who want to level up their skills!
Programmers who have difficulties with solving practical tasks
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