semvec/pypi-packages huggingface dataset:
neon-connector 0.0.3
package to connect to the Neon database through Python and perform operations on it

# Neon Connector

Connect to the Neon database through Python and perform operations on it.
MIT License

Copyright 2024 Timotius Marselo

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
bilbyai-quant 0.1.0
A Python package for quant research.
Requires Python: >=3.9

# quant

A Python package for quant research.

The project owner is [@leetdavid](https://github.com/leetdavid).

## Development

If not already in a virtual environement, create and use one.
Read about it in the Python documentation: [venv — Creation of virtual environments](https://docs.python.org/3/library/venv.html).

```
python3 -m venv .venv
source .venv/bin/activate
```

Install the pinned pip version:

```
pip install -r $(git rev-parse --show-toplevel)/pip-requirements.txt
```

Finally, install the dependencies:

```
pip install -r $(git rev-parse --show-toplevel)/dev-requirements.txt -r requirements.txt
```

## Testing

Execute tests from the library's folder (after having loaded the virtual environment,
see above) as follows:

```
python3 -m pytest tests/
```

Execute the library's CI locally with [act](https://github.com/nektos/act) as follows:

```
act -j ci-libs-quant
```