Python Course: From Beginner to Expert

Welcome to the Python Course series! This repository accompanies the YouTube tutorial series designed to take you from a Python novice to an expert. You’ll find code examples, exercises, and additional resources for each video. Whether you're just starting or looking to deepen your Python knowledge, this course has something for you.

Table of Contents

Beginner Level

1. Introduction to Python
2. Basic Python Syntax
3. Control Flow
4. Functions
5. Data Structures
6. Working with Strings

Intermediate Level

7. File Handling
8. Modules and Packages
9. Object-Oriented Programming (OOP)
10. Error Handling and Exceptions
11. Working with Date and Time
12. Comprehensions

Advanced Level

13. Advanced OOP Concepts
14. Iterators and Generators
15. Decorators
16. Context Managers
17. Testing in Python
18. Regular Expressions
19. File I/O and Serialization
20. Concurrent and Parallel Programming
21. Working with APIs
22. Data Science with Python
23. Web Development with Python
24. Deployment and Automation
25. Best Practices

Course Overview

This series is designed to provide a comprehensive education in Python, from the basics to more advanced concepts. Each section below corresponds to a video in the YouTube series. The repository is organized into folders that match the sequence of topics in the course.

Beginner Level

Introduction to Python

• What is Python?
• Installing Python and setting up the environment
• Running Python scripts

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Code Examples

Basic Python Syntax

• Variables and Data Types
• Basic Operators
• Input and Output

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Code Examples

Control Flow

• Conditional Statements (if, elif, else)
• Loops (for, while)
• Break, Continue, and Pass statements

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Code Examples

Functions

• Defining Functions
• Parameters and Return Values
• Scope and Lifetime of Variables
• Lambda Functions

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Code Examples

Data Structures

• Lists
• Tuples
• Sets
• Dictionaries

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Code Examples

Working with Strings

• String Manipulation
• String Methods
• Formatting Strings
• Regular Expressions (basic introduction)

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Code Examples

Intermediate Level

File Handling

• Reading and Writing Files
• Working with CSV files
• Exception Handling (try, except, finally)

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Code Examples

Modules and Packages

• Importing Modules
• Creating your own Modules
• Python Standard Library Overview (os, sys, math, random, etc.)

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Code Examples

Object-Oriented Programming (OOP)

• Classes and Objects
• Inheritance
• Polymorphism
• Encapsulation and Abstraction

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Code Examples

Error Handling and Exceptions

• Understanding Exceptions
• Raising Exceptions
• Custom Exceptions

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Code Examples

Working with Date and Time

• The datetime module
• Formatting and Parsing Dates
• Time Arithmetic

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Code Examples

Comprehensions

• List Comprehensions
• Dictionary Comprehensions
• Set Comprehensions

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Code Examples

Advanced Level

Advanced OOP Concepts

• Class Methods and Static Methods
• Properties and Descriptors
• Method Resolution Order (MRO)
• Metaclasses

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Code Examples

Iterators and Generators

• Understanding Iterators
• Building Generators with yield
• Generator Expressions

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Code Examples

Decorators

• Function Decorators
• Class Decorators
• Using Decorators with Parameters

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Code Examples

Context Managers

• The with statement
• Writing Custom Context Managers
• Using contextlib

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Code Examples

Testing in Python

• Unit Testing with unittest
• Test-driven Development (TDD)
• Mocking and Patching

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Code Examples

Regular Expressions

• Advanced String Manipulation
• Pattern Matching
• Practical Examples

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Code Examples

File I/O and Serialization

• Working with JSON, XML, and CSV
• Pickle Serialization

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Code Examples

Concurrent and Parallel Programming

• Threads vs. Processes
• The threading module
• The multiprocessing module
• Asynchronous Programming with asyncio

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Code Examples

Working with APIs

• Consuming Web APIs
• RESTful APIs using requests
• Handling Authentication

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Code Examples

Data Science with Python

• Introduction to pandas
• Data Visualization with matplotlib and seaborn
• Basic Statistics and Probability
• Introduction to Machine Learning with scikit-learn

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Code Examples

Web Development with Python

• Flask Basics
• Building a REST API with Flask
• Django Overview
• Working with Databases (SQLAlchemy, Django ORM)

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Code Examples

Deployment and Automation

• Deploying Python Applications
• Automation with fabric, invoke, or ansible
• Packaging Python Projects (pip, virtualenv, setuptools)

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Code Examples

Best Practices

• Code Style (PEP 8)
• Writing Clean and Maintainable Code
• Version Control with Git
• Documentation with Sphinx

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Code Examples

License

This project is licensed under the MIT License - see the LICENSE file for details.