semvec/pypi-packages huggingface dataset:
muse-python 0.0.1
Common muse library for python
Requires Python: <4.0,>=3.9
Keywords: python

# muse-python

[![Release](https://img.shields.io/github/v/release/infinitehaiku/muse-python)](https://img.shields.io/github/v/release/infinitehaiku/muse-python)
[![Build status](https://img.shields.io/github/actions/workflow/status/infinitehaiku/muse-python/main.yml?branch=main)](https://github.com/infinitehaiku/muse-python/actions/workflows/main.yml?query=branch%3Amain)
[![codecov](https://codecov.io/gh/infinitehaiku/muse-python/branch/main/graph/badge.svg)](https://codecov.io/gh/infinitehaiku/muse-python)
[![Commit activity](https://img.shields.io/github/commit-activity/m/infinitehaiku/muse-python)](https://img.shields.io/github/commit-activity/m/infinitehaiku/muse-python)
[![License](https://img.shields.io/github/license/infinitehaiku/muse-python)](https://img.shields.io/github/license/infinitehaiku/muse-python)

Common muse library for python

- **Github repository**: <https://github.com/infinitehaiku/muse-python/>
- **Documentation** <https://infinitehaiku.github.io/muse-python/>

## Getting started with your project

### 1. Create a New Repository

First, create a repository on GitHub with the same name as this project, and then run the following commands:

```bash
git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:infinitehaiku/muse-python.git
git push -u origin main
```

### 2. Set Up Your Development Environment

Then, install the environment and the pre-commit hooks with

```bash
make install
```

This will also generate your `uv.lock` file

### 3. Run the pre-commit hooks

Initially, the CI/CD pipeline might be failing due to formatting issues. To resolve those run:

```bash
uv run pre-commit run -a
```

### 4. Commit the changes

Lastly, commit the changes made by the two steps above to your repository.

```bash
git add .
git commit -m 'Fix formatting issues'
git push origin main
```

You are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPI, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/publishing/#set-up-for-pypi).
For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/mkdocs/#enabling-the-documentation-on-github).
To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/codecov/).

## Releasing a new version

- Create an API Token on [PyPI](https://pypi.org/).
- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting [this page](https://github.com/infinitehaiku/muse-python/settings/secrets/actions/new).
- Create a [new release](https://github.com/infinitehaiku/muse-python/releases/new) on Github.
- Create a new tag in the form `*.*.*`.

For more details, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/cicd/#how-to-trigger-a-release).

---

Repository initiated with [fpgmaas/cookiecutter-uv](https://github.com/fpgmaas/cookiecutter-uv).
atomicspy 0.1.2
A Python library for chemical compounds and elements.
Requires Python: >=3.6

# AtomicsPy

**AtomicsPy** is a Python library that offers versatile tools for working with chemical data and compounds. As a Python port of the [Atomic project](https://github.com/mahdin-hc/atomic), AtomicsPy aims to simplify chemical data manipulation and analysis for researchers, educators, and students.

## Features

- Load and manipulate chemical compounds from CSV and JSON files.
- Generate molecular data and perform a variety of chemical calculations.
- User-friendly interface for accessing chemical properties and structures.

## Installation

To install `atomicspy`, use `pip` in your terminal or command prompt:

```bash
pip install atomicspy
```

### Requirements

- Python 3.6 or higher
- Dependencies: Ensure you have all required packages specified in `requirements.txt`.

## Usage

After installation, you can start using AtomicsPy in your Python scripts. For convenience, you can import it with an alias:

```python
import atomicspy as atomic
```

### Example

```python
import atomicspy as atomic

# Load chemical data
data = atomic.load_data()

# Access a specific compound
compound_name = "H2O"
compound_info = data.get(compound_name)

if compound_info:
    print(f"{compound_name}: {compound_info}")
else:
    print(f"Compound {compound_name} not found.")

# Display help information
atomic.help()
```

### Key Functions

- `hello_atomicspy()`: Prints a welcome message.
- `load_data()`: Loads chemical data from CSV and JSON files.
- `help()`: Provides help information, listing available functions and repository links.

## Documentation

For more details, refer to the [AtomicPy Documentation](https://github.com/IHEfty/atomicpy).

## Contributing

Contributions are encouraged! To contribute, please fork the repository and submit a pull request.

### Reporting Issues

If you encounter any issues, report them on the [Issues page](https://github.com/IHEfty/atomicpy/issues).

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.

## Acknowledgments

This library is inspired by the original [Atomic project](https://github.com/mahdin-hc/atomic) by Mahdin H.C.