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https://github.com/abrahamkoloboe27/cours-streamlit

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https://github.com/abrahamkoloboe27/cours-streamlit

course python streamlit visualization

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### Cours-Streamlit

This repository contains the materials for learning Streamlit, a Python library used for creating web applications for data science and machine learning projects.
## Auteur
:blue[Abraham KOLOBOE]
* Email :
* WhatsApp : +229 91 83 84 21
* Linkedin : [Abraham KOLOBOE](https://www.linkedin.com/in/abraham-zacharie-koloboe-data-science-ia-generative-llms-machine-learning)


## Project Structure

- **Home.py**: Main file to launch the Streamlit application.
- **pages/**: Contains additional pages for the multi-page Streamlit app.
- **requirements.txt**: Lists all the dependencies required to run the Streamlit application.
- **images/**: Directory for storing images used in the application.

## Installation

1. Clone the repository:
```bash
git clone https://github.com/abrahamkoloboe27/Cours-Streamlit.git
cd Cours-Streamlit
```

2. Install the required dependencies:
```bash
pip install -r requirements.txt
```

3. Run the Streamlit application:
```bash
streamlit run Home.py
```

## Usage

After running the application, navigate to the provided local URL in your web browser to interact with the app.

## Contributing

Feel free to fork the repository and create pull requests. For major changes, please open an issue first to discuss what you would like to change.

## License

This project is licensed under the MIT License. See the LICENSE file for details.

---

For more information, visit the [GitHub repository](https://github.com/abrahamkoloboe27/Cours-Streamlit/tree/main).