starrydata 1.0.0

Starrydata Python useful tools

# Starrydata

Starrydata is a library that allows users to easily download and utilize datasets related to inorganic materials. This library enables efficient data retrieval for research and projects.

## Installation

You can install Starrydata from PyPI using the following command:

```sh
pip install starrydata

If you want to install from the PyPI test repository for testing purposes, use the following command:

pip install --index-url https://test.pypi.org/simple/ --no-deps starrydata

Usage

Below is an example of how to use Starrydata.

Downloading a Dataset

To download a specific dataset, use the Dataset class. Here is an example of how to download and load a dataset into a pandas DataFrame:

from starrydata import Dataset
import pandas as pd

# Initialize the Dataset object with a specific date
dataset = Dataset(date="20240515")

# Load the dataset into a pandas DataFrame
df = pd.read_csv(dataset.all_curves)

# Display the DataFrame
print(df)

Documentation

For more detailed documentation and usage examples, please refer to the official documentation.

Contributing

Bug reports and feature requests are welcome at the GitHub repository. Contributions to the codebase are also appreciated. Follow these steps to contribute:

1. Fork the repository
2. Create a new branch (git checkout -b feature-branch)
3. Commit your changes (git commit -am 'Add new feature')
4. Push the branch (git push origin feature-branch)
5. Create a pull request

License

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

---

For questions or support, please contact [e-mail].