Welcome to the Python Programming Course repository! This course aims to provide a comprehensive introduction to Python, focusing on data structures, object-oriented programming, recursion, algorithms, and Big O notation.

• Introduction
• Data Structures
  • Lists
  • Tuples
  • Dictionaries
  • Sets
• Object-Oriented Programming
  • Classes and Objects
  • Inheritance
  • Encapsulation
  • Polymorphism
• Recursion
  • Recursive Functions
  • Base Case and Recursive Case
  • Common Recursive Problems
• Algorithms
  • Sorting Algorithms
    • Bubble Sort
    • Selection Sort
    • Insertion Sort
    • Merge Sort
    • Quick Sort
  • Searching Algorithms
    • Linear Search
    • Binary Search
  • Graph Traversal Algorithms
    • Depth-First Search (DFS)
    • Breadth-First Search (BFS)
• Big O Notation
  • O(1) Constant Time
  • O(n) Linear Time
  • O(log n) Logarithmic Time
  • O(n^2) Quadratic Time
  • O(n!) Factorial Time
• Additional Resources

Welcome to the Python Programming Course repository! This course aims to provide a comprehensive introduction to Python, focusing on data structures, object-oriented programming, recursion, algorithms, and Big O notation.

Are you an aspiring Python programmer who wants to bridge the gap between knowing how to code and becoming a professional? If so, you're in the right place!

While there are numerous resources available to learn Python, finding a high-quality, free course can be challenging. I believe that access to free educational materials should be a fundamental right for anyone interested in programming. Therefore, I created this repository to offer a free, self-paced Python programming course that covers essential concepts and topics.

In this course, we will cover a wide range of fundamental programming concepts and techniques. By the end, you will have a solid understanding of data structures, object-oriented programming, recursion, algorithms, and Big O notation. Here are some of the key areas we will explore:

• Data Structures: Learn how to work with lists, tuples, dictionaries, and sets to organize and manipulate data efficiently.
• Object-Oriented Programming: Master the principles of OOP, including classes, objects, inheritance, encapsulation, and polymorphism.
• Recursion: Explore the power of recursion and learn how to solve complex problems by breaking them down into smaller, more manageable subproblems.
• Algorithms: Dive into various algorithms, such as sorting, searching, and graph traversal, to enhance your problem-solving skills.
• Big O Notation: Understand the concept of algorithmic efficiency and learn how to analyze the time and space complexity of algorithms.

This course is designed for individuals who already have a basic understanding of programming concepts and Python syntax. Whether you are a student, a self-taught programmer, or someone looking to enhance your coding skills, this course will provide a structured path to improve your Python proficiency.

Each section of this repository corresponds to a specific topic. You can navigate through the sections using the table of contents provided. Within each section, you will find detailed explanations, code examples, and exercises to practice your skills.

Feel free to explore the content at your own pace. Take your time to grasp each concept before moving on to the next. Don't hesitate to ask questions or seek clarification on any topic. Remember, the journey from coding to becoming a pro requires patience, dedication, and practice.

I believe that education should be accessible to all, regardless of financial constraints. Therefore, this course is completely free of charge. All I ask is that you share this resource with others who may benefit from it. Together, let's empower more individuals to unlock their full potential as Python programmers!

Now, let's dive in and embark on this exciting Python programming journey!