semvec/pypi-packages huggingface dataset:
windadjustment 1.0.0
A Python package for statistical wind speed adjustment using meteorological data
Requires Python: >=3.8

# WindAdjustment

A Python package for statistical wind speed adjustment using meteorological data.

## Overview

WindAdjustment provides tools for performing statistical adjustments on wind data, supporting both point-wise and regional analysis:

- **PointAdjustment**: Performs statistical adjustments for wind data at specific points/locations
- **RegionAdjustment**: Applies point-wise adjustments across entire regions using the PointAdjustment functionality
- **WindSpeedVisualizer**: Provides visualization tools for wind data and adjustment results

The package allows users to perform adjustments for specific time periods according to their requirements, making it suitable for climate studies, wind energy assessments, and meteorological research.

## Installation

### From source
```bash
git clone https://github.com/yourusername/windadjustment.git
cd windadjustment
pip install -e .
```

## Usage

Detailed usage examples and tutorials are available in the `docs/` folder:

- `Point_Adjustment_Usage_Guide.ipynb` - Complete guide for point-wise adjustments
- `RegionAdjustment_Usage_Guide.ipynb` - Guide for regional adjustments  
- `WindAdjustment_Usage_Guide.ipynb` - General usage and visualization guide

## Requirements

See `requirements.txt` for the complete list of dependencies.

## License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License - see the [LICENSE](LICENSE) file for details.
pggo 1.2.0
A PostgreSQL driver written in Golang for Python
Requires Python: >=3.9

# pggo

Author: Lucas Lima Fernandes

PostgreSQL driver implemented in Go (pgx) exposed to Python via shared C lib, packaged as wheel.


## Instalation

```bash
pip install pggo
```

## Teste

```python
from pggo import connect
c = connect("postgres://user:pass@host:5432/db?sslmode=disable")
cur = c.cursor()
cur.execute("select 1 as x")
print(cur.fetchall())  # [{'x': 1}]
c.close()
```

You can execute tests in `examples/`

## Passing Parameters to Queries

pggo supports PostgreSQL positional parameters using the $1, $2, $n syntax.
You must pass a list or tuple as the second argument to execute.

```python
from pggo import connect

DSN = "postgres://postgres:password@localhost:5432/postgres?sslmode=disable"

with connect(DSN) as conn:
    with conn.cursor() as cur:
        cur.execute("INSERT INTO cliente (nome) VALUES ($1)", ["Lucas"])
        print("Rows affected:", cur.rowcount)

with connect(DSN) as conn:
    with conn.cursor() as cur:
        cur.execute("SELECT * FROM cliente WHERE nome = $1", ["Lucas"])
        print(cur.fetchall())  # [{'id': 2, 'nome': 'Lucas'}]
```

## Contributing

Your contributions are welcome! If you encounter any bugs or have feature requests, please open an issue. To contribute code, follow these steps:

Fork the repository.

Clone your forked repository to your local machine.

Create a new branch for your feature or bugfix (git checkout -b feature-name).

Make your changes and commit them (git commit -m "Description of changes").

Push your branch (git push origin feature-name).

Open a pull request with a clear description of your changes.

For more details, check the Contributing Guide.

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