Kishankumar1328 / Numpy-Arrays

Got it! Here's the updated README.md with the username "kishankumar1328":

# Numpy Cheat Sheet

This repository contains a Streamlit web application for a Numpy cheat sheet. It provides information and examples on various Numpy functionalities.

## Demo

Check out the live demo [here](https://numpy-arrays-mdhncdnekk8tpcaat9zcj8.streamlit.app/).

## Features

- Provides examples and explanations for Numpy functionalities.
- Easy-to-use interface.
- Interactive exploration of Numpy concepts.

## Getting Started

To get a local copy up and running follow these simple steps:

### Prerequisites

- Python 3.x
- pip package manager

### Installation

1. Clone the repo
   ```sh
   git clone https://github.com/kishankumar1328/your-repo.git

2. Navigate to the project directory

   cd your-repo

3. Install required dependencies

   pip install -r requirements.txt

Explore the App

Click the button below to explore the interactive tutorial:

Usage

1. Run the Streamlit application

   streamlit run app.py

2. Access the application in your web browser at http://localhost:8501

Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the GNU General Public License v3.0. See the LICENSE file for details.

Contact

• Kishan Kumar
• Email: [e-mail]

Acknowledgements

• Streamlit
• Numpy

Feel free to use this README.md for your project. Let me know if you need further assistance!