Python Mastery: From Absolute Beginner to Advanced OOP
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
.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.
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.
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
