Project: Comparative Analysis and Visualization of Sorting Algorithms in Python

As a group project we are looking for an understanding regarding sorting algorithms by implementing, analyzing, and visualizing the performance of various sorting techniques in Python.

##Bubble Sort

• Time Complexity: O(n²)
• Space Complexity: O(1)
• Diagram methods...

##Merge Sort

• Time Complexity: O(n log n)
• Space Complexity: O(n)

##Quick Sort

• Time Complexity: O(n log n)
• Space Complexity: O(n²⁾

##Radix Sort

• Time Complexity: O(n*d)
• Space Complexity: O(n+k)

##Linear Search Algorithm

• Time Complexity: O(n)
• Space Complexity: O(1)

###Libraries Used:

How to Run the Project

1. Clone the Repository: Start by cloning this repository to your machine.

   git clone <repository-url>

2. Set Up a Virtual Environment:

   • Create a virtual environment.

   python3 -m venv env

   • Activate the virtual environment:
     • On Windows:

       .\env\Scripts\activate

     • On macOS/Linux:

       source env/bin/activate

3. Install Dependencies:

   • Navigate to the project directory and install the Python packages using pip:

   pip install -r requirements.txt

4. Run the Flask App:

   • To start the Flask server, run the following command:

   python app.py

   • By default, the app runs on http://127.0.0.1:5000. Open this URL in your web browser to access the app.

5. Access the Application:

   • Open your web browser and go to the default Flask server location: http://127.0.0.1:5000.