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Python Mastery: From Absolute Beginner to Advanced OOP

Name: Python Mastery: From Absolute Beginner to Advanced OOP
Rating: 4.8 (9 reviews)

Python from PEP8 to advanced OOP concepts, including classes, inheritance, polymorphism. Many practical exercises

Created byOlha Piliaieva

Last updated 4/2025

English

What you'll learn

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.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

7 sections • 40 lectures • 5h 36m total length

Introduction to the Python Course1:23
Why Choose Python?1:42

PEP Guidelines, Understanding Python Syntax7:02
Numeric Types in Python: int, float, and complex6:43
Working with Floating-Point Numbers and Rounding
Working with Integer Variables and Basic Operations
Atomic and Reference Object Types in Python4:59
Explore how atomic objects copy values while reference objects share memory, and compare mutable versus immutable types across integers, strings, lists, and tuples with id demonstrations.
Working with Data Type Conversion
String Data Type in Python10:33
Explore the string data type in Python, including index access, slicing, immutability, methods (lower, upper, strip, replace, find, split, join, startswith, endswith, len), and formatting with percent, format, and f-strings.
Working with Strings in Python
List Data Type in Python8:47
Explore Python's list data type, a mutable, ordered collection that holds duplicates and elements of any type, with indexing, slicing, and operations like append, insert, del, and sort.
Tuple Data Type in Python9:09
Working with Tuples in Python
Boolean Data Type in Python4:54
Using Boolean Values, Logical Expressions, and Conditional Logic
Dictionary Data Type in Python7:22
Working with Dictionaries in Python
Set and Frozenset Data Types in Python8:15
Working with Sets in Python
Binary Sequence Types in Python14:08
Working with a Frozenset.
Definition of the difference between an operator and an operand

Loops and How to Work with Them8:03
Break and Continue: Control Flow Statements in Python7:23
Nested Loops and Conditional Statements8:26
Working with Loops and Nested Data Structures9:30
Explore nested data structures with lists and dictionaries, including a 3x3 grid and a users dictionary. Learn to access, iterate, and print structured data using nested loops and unpacking.
List Comprehensions in Python13:56
Input() Function in Python7:03
Learn how the Python input() function captures user data as strings, uses prompts, and converts to int, float, and bool, with examples of concatenation, print, and lower-based yes/no handling.
Implementing a For Loop
Utilizing Break and Continue for Control Flow in Python
Efficient Data Manipulation using List Comprehensions in Python
Concatenation of Different Data Types in Python
Concatenation of Different Data Types in Python

What is a Function? Creating Functions in Python10:08
Positional and Keyword Arguments in Python Functions8:36
Creating a Custom Function
Passing Positional and Named Arguments into a Function
Understanding Packing Function Arguments
Understanding and Using Unpacking in Function Arguments
Argument Packing and Unpacking Operators in Python Functions8:34
Lambda Functions in Python7:14
Creating a Lambda Function
What is Scope in Python?8:24
Understanding Global Variables in Python
Using try-except in Python Functions10:00
Implementing a Function with Error Handling using try-except
What are Modules in Python: Working with Them. Import Statement16:48
A Decorator as a Design Pattern in Python: How to Use and Implement Them6:19
Creating a Custom Decorator
Creating a QR Code Generator for Your Social Media with Python7:19
Understanding how Decorators Modify the Behavior of Functions in Python

Object-Oriented Programming (OOP) in Python: Classes and Instances11:02
Writing a Constructor for a Class and Creating an Instance
Creating a Custom Class
Object-Oriented Programming in Python: Class, Static, and Instance Methods9:06
Explore how Python defines instance, class, and static methods, showing how instance methods access attributes via self, class methods use cls, and static methods serve as utilities.
Working with Static Method
Understanding Class Methods
Object-Oriented Programming in Python: Single and Multiple Inheritance10:07
Object-Oriented Programming in Python: Multilevel and Hierarchical Inheritance7:25
Class Inheritance
Object-Oriented Programming in Python: Composition11:46
Class Composition
Object-Oriented Programming in Python: Polymorphism5:10
Understanding Polymorphism
Working with super(), Inheritance, and Polymorphism
Object-Oriented Programming in Python: Encapsulation13:32
Understanding Encapsulation in Python
Object-Oriented Programming in Python: Getters, Setters, and Properties6:33
Using Getter and Setter Methods
Working with Properties
Object-Oriented Programming in Python: Aggregation6:25
Object-Oriented Programming in Python: Abstraction10:39
Demonstrate abstraction in Python by hiding implementation details and exposing essential features, using abstract classes and abstract methods to enforce a common interface and enable polymorphism in subclasses.
Understanding Aggregation
Understanding Abstraction in OOP
Understanding Composition in OOP

Understanding Python Data Types
Difference Between is and ==
Mutable vs Immutable Types
Boolean Evaluation of Empty List
Purpose of @staticmethod
Exception Handling Syntax
String Multiplication Behavior
Role of __init__ Constructor
Type of a Lambda Function
Syntax for Class Inheritance
Meaning of self in Class Methods
Variable Scope Inside Functions
Defining Private Variables in Classes
OOP Principles in Python
Method Resolution Order (MRO)
Understanding Polymorphism
Difference Between Class and Instance Attributes
What Is Encapsulation?
Class Method vs Instance Method
Purpose of super() in Inheritance
Why You Should Not Use Mutable Types as Default Arguments

Requirements

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.

Description

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.

Python Mastery: From Absolute Beginner to Advanced OOP

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction to the Python Course2 lectures • 3min

Installing Python and Setting Up the Development Environment3 lectures • 22min

Python Syntax and Data Structures10 lectures • 1hr 22min

Control Flow and Looping in Python6 lectures • 54min

Functions and Types of Arguments in Python9 lectures • 1hr 23min

OOP (Object-Oriented Programming) in Python10 lectures • 1hr 32min

Python Interview Questions: Practice Quiz0

Requirements

Description

Who this course is for: