https://github.com/maheshpaulj/visualize_sorting_algorithms
This project uses Pygame to visualize various sorting algorithms, making it easier to understand how they work.
https://github.com/maheshpaulj/visualize_sorting_algorithms
datavisualization pygame python sortingalgorithms
Last synced: about 2 months ago
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This project uses Pygame to visualize various sorting algorithms, making it easier to understand how they work.
- Host: GitHub
- URL: https://github.com/maheshpaulj/visualize_sorting_algorithms
- Owner: maheshpaulj
- License: mit
- Created: 2024-10-13T09:12:58.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-13T09:19:10.000Z (about 1 year ago)
- Last Synced: 2025-01-08T16:57:51.808Z (12 months ago)
- Topics: datavisualization, pygame, python, sortingalgorithms
- Language: Python
- Homepage:
- Size: 107 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Sorting Algorithms Visualization
Welcome to the **Sorting Algorithms Visualization** project! This project uses Pygame to visualize various sorting algorithms, making it easier to understand how they work.
## Features
- Visual representation of sorting algorithms:
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
- Quick Sort
- Heap Sort
- Interactive controls for selecting the sorting algorithm
- Input field to define the number of data elements to sort
- Reset functionality to generate a new random array
## Getting Started
### Prerequisites
- Python 3.x
- Pygame library
### Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/sorting-visualization.git
cd sorting-visualization
```
2. Install the required packages:
```bash
pip install pygame
```
### Usage
1. Run the program:
```bash
python visualizer.py
```
2. Use the buttons to select the sorting algorithm you want to visualize.
3. Adjust the number of data elements using the input field and click "Reset Array" to generate a new set of data.
4. Watch the sorting algorithm in action!
## Contributing
Contributions are welcome! If you have suggestions for improvements or additional features, please open an issue or submit a pull request.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- Inspired by the desire to visualize sorting algorithms for better understanding and learning.