Data Structure and Algorithm

Overview

This project focuses on the implementation and analysis of various data structures and algorithms, with a special emphasis on understanding the time complexity of the Quick Sort algorithm. The repository includes code written in both C++ and Python.

Features

• Implementation of Quick Sort in C++ and Python
• Analysis of Quick Sort time complexity
• Educational examples of data structures and algorithms

Files

• quick_sort.cpp: C++ implementation of the Quick Sort algorithm.
• quick_sort.py: Python implementation of the Quick Sort algorithm.
• .gitattributes: Git configuration file.
• .gitignore: Specifies files to be ignored by Git.

Getting Started

1. Clone the repository:

   git clone https://github.com/elif1906/Data-structure-and-algorithm.git

2. Navigate to the project directory:

   cd Data-structure-and-algorithm

3. Compile and run the C++ code:

   g++ quick_sort.cpp -o quick_sort
   ./quick_sort

4. Run the Python code:

   python quick_sort.py

Quick Sort Algorithm

Quick Sort is a highly efficient sorting algorithm and is based on the divide-and-conquer approach. It works by selecting a 'pivot' element from the array and partitioning the other elements into two sub-arrays, according to whether they are less than or greater than the pivot. The sub-arrays are then sorted recursively.

Time Complexity

• Best Case: O(n log n)
• Average Case: O(n log n)
• Worst Case: O(n^2)

For more details, visit the GitHub repository.