Metadata-Version: 2.4
Name: synaptik
Version: 0.1.0
Summary: A Python library for neural connections, memory formation, and intelligence
Home-page: https://github.com/hemprasadbadgujar/synaptik
Author: Hemprasad Badgujar
Author-email: Hemprasad Badgujar <hemprasad.badgujar@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/MO-HemprasadB-43257/synaptik
Project-URL: Documentation, https://github.com/MO-HemprasadB-43257/synaptik#readme
Project-URL: Repository, https://github.com/MO-HemprasadB-43257/synaptik
Project-URL: Issues, https://github.com/MO-HemprasadB-43257/synaptik/issues
Keywords: neural,memory,intelligence,ai,machine-learning
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# Synaptik

A Python library for neural connections, memory formation, and intelligence.

## Installation

Install from PyPI:

```bash
pip install synaptik
```

Or install from source:

```bash
git clone https://github.com/hemprasadbadgujar/synaptik.git
cd synaptik
pip install -e .
```

## Quick Start

```python
from synaptik import hello_world

print(hello_world())
# Output: Hello, World! Welcome to Synaptik!
```

## Development

### Setup Development Environment

```bash
git clone https://github.com/hemprasadbadgujar/synaptik.git
cd synaptik
pip install -e ".[dev]"
```

### Running Tests

```bash
pytest
```

## Publishing to PyPI

This package is automatically published to PyPI when a new release is created on GitHub.

### Manual Publishing

1. Update the version in `pyproject.toml` and `setup.py`
2. Build the package:
   ```bash
   python -m build
   ```
3. Upload to PyPI:
   ```bash
   python -m twine upload dist/*
   ```

### Automatic Publishing via GitHub Actions

The package is automatically published when you:
1. Create a new release on GitHub (tagged release)
2. Or manually trigger the workflow from GitHub Actions

**Note:** You need to configure PyPI trusted publishing:
1. Go to PyPI → Account Settings → API tokens
2. Add a new API token with "Trusted publishing"
3. Add your GitHub repository to the trusted publishers

## License

MIT License - see LICENSE file for details.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## Author

Hemprasad Badgujar
