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**AD-TEAM** · 11-17-2024, 04:45 PM

[Image: c23ed06108db6b146a82b1d99e3dfbfb.jpg]

Python Mastery: From Absolute Beginner to Advanced OOP
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 5h 36m | 2.31 GB
Instructor: Olga Piliaieva

Master Python from scratch to advanced OOP concepts, including classes, inheritance, polymorphism, and more.

[b]What you'll learn[/b]

Master Python Fundamentals: Understand Python's core syntax, data types, and control flow, enabling you to write clean and efficient code from scratch.
Develop Object-Oriented Programming (OOP) Skills: Gain a deep understanding of OOP concepts such as classes, inheritance, polymorphism etc.
Manage Virtual Environments and Python Versions (Pyenv): Learn how to create and manage virtual environments, switch between different Python versions.
Practice with Hands-On Exercises: Reinforce your learning with numerous practical exercises.
We will create an application for generating QR codes and generate codes for our social media using Python.

[b]Requirements[/b]

There are no prerequisites for taking this course. It's designed for beginners.
In this course, we will be using Visual Studio Code (VSCode) as our code editor along with Python versions 3.9 and 3.11. You'll learn how to set up and work with it.

[b]Description[/b]

Python Mastery: From Absolute Beginner to Advanced OOP. This comprehensive Python course is designed for absolute beginners and takes you all the way to advanced concepts in Object-Oriented Programming (OOP).

Starting with the fundamentals of Python, you'll learn essential topics such as data types, variables, loops, conditionals, and functions.

As you progress, you'll dive deeper into advanced Python topics like classes, inheritance, polymorphism, encapsulation, and abstraction. We will also explore how to work with different Python versions in secure virtual environments using pyenv.

You will learn the following topics:

Work with Different Python Versions: Virtual Environments, Pyenv. PEP Guidelines, Understanding Python Syntax
Numeric Types in Python: int, float, and complex
Atomic and Reference Object Types in Python
String Data Type in Python
List Data Type in Python
Tuple Data Type in Python
Boolean Data Type in Python
Dictionary Data Type in Python
Set and Frozenset Data Types in Python
Binary Sequence Types in Python
Loops and How to Work with Them
Break and Continue: Control Flow Statements in Python
Nested Loops and Conditional Statements
Working with Loops and Nested Data Structures
List Comprehensions in Python
Input() Function in Python
What is a Function? Creating Functions in Python
Positional and Keyword Arguments in Python Functions
Argument Packing and Unpacking Operators in Python Functions
Lambda Functions in Python
What is Scope in Python?
Using try-except in Python Functions
What are Modules in Python: Working with Them. Import Statement
A Decorator as a Design Pattern in Python: How to Use and Implement Them
Creating a QR Code Generator for Your Social Media with Python
Object-Oriented Programming (OOP) in Python: Classes and Instances
Object-Oriented Programming in Python: Class, Static, and Instance Methods
Object-Oriented Programming in Python: Single and Multiple Inheritance
Object-Oriented Programming in Python: Multilevel and Hierarchical Inheritance
Object-Oriented Programming in Python: Composition
Object-Oriented Programming in Python: Polymorphism
Object-Oriented Programming in Python: Encapsulation
Object-Oriented Programming in Python: Getters, Setters, and Properties
Object-Oriented Programming in Python: Aggregation
Object-Oriented Programming in Python: Abstraction

Whether you're aiming for a career in software development, data science, or just looking to expand your programming knowledge, this course provides the skills and confidence you need to succeed in the Python ecosystem.

Join now and start mastering Python!

Who this course is for:

This course is for beginners or those who want to learn an additional programming language from scratch.

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