semvec/pypi-packages huggingface dataset:
epiweeks 2.4.0
Epidemiological weeks calculation based on CDC and ISO week numbering systems
Requires Python: >=3.10
Keywords: calendar, cdc, epidemiology, epiweek, iso, mmwr, public health, surveillance

# EpiWeeks

A Python package for accurate epidemiological weeks calculation using the US CDC (MMWR) and ISO week numbering systems.

EpiWeeks provides reliable week calculations validated against CDC reference data, essential for disease surveillance, public health reporting, and epidemiological research.

## ✨ Features

- Support for both the US CDC (MMWR) and ISO week numbering systems
- Accurate and tested calculations validated against CDC reference data
- Intuitive, clean, and easy-to-use interface
- Calculation of the start and end dates of weeks
- Iteration of year's weeks or week's dates
- Rich comparison between weeks
- Logical operations for weeks (addition, subtraction and containment)
- Comprehensive input validation and error handling
- Full type annotations and 100% test coverage
- Zero runtime dependencies

## 📦 Installation

To install using `uv`, run:

```shell
uv add epiweeks
```

To install using `pip`, run:

```shell
pip install epiweeks
```

To install using `conda`, run:

```shell
conda install -c bioconda epiweeks
```

## 🚀 Basic Usage

```python
from epiweeks import Week, Year

week = Week(2019, 1)
print(week.enddate())
# 2019-01-05

for week in Year(2019).iterweeks():
    print(week.enddate())
# 2019-01-05
# 2019-01-12
# ...
# 2019-12-21
# 2019-12-28
```

## 📚 Documentation

Please refer to <https://epiweeks.readthedocs.io> for complete documentation on this package, which includes background information, usage examples, and API reference.

## 🤝 Contributing

If you're interested in contributing, please check out the [Contributing](https://github.com/dralshehri/epiweeks/blob/main/CONTRIBUTING.md) guide for more information on how you can help!

## 📄 License

This project is licensed under the terms of the MIT license.

## 📝 Citation

If you plan to cite this project in your academic publication, please refer to <https://doi.org/10.5281/zenodo.18171641> for citation information.
pollistack 0.1.2
Python SDK for PolliStack Agent Engine
Requires Python: >=3.7

# pollistack

Python SDK for the PolliStack Agent Engine.

## Installation

```bash
pip install pollistack
```

## Quick Start

```python
import asyncio
from pollistack.client import PolliClient

async def main():
    client = PolliClient(
    base_url='https://api.meridian-labs.ai',
    api_key='your-api-key'
)
    
    response = await client.chat(
        prompt="Hello, my name is Alice.",
        user_id="alice-123",
        app_id="my-app"
    )
    print(response)

if __name__ == "__main__":
    asyncio.run(main())
```

## API Reference

### `PolliClient`

- `chat(prompt, user_id, app_id=None, model="qwen-coder")`: Send a prompt.
- `sync(query, user_id, content=None, app_id=None)`: Sync memory.
- `retrieve(query, user_id, app_id=None)`: Get relevant context.
- `remember(prompt, response, user_id, app_id=None)`: Extract memory.
- `get_graph(user_id, limit=50, app_id=None)`: Fetch graph.

## License

MIT
hecstac 0.5.3
Create stac objects and metadata from HEC modeling software.

# hecstac

[![CI](https://github.com/fema-ffrd/hecstac/actions/workflows/main-push.yaml/badge.svg?branch=main)](https://github.com/fema-ffrd/hecstac/actions/workflows/main-push.yaml)
[![Dev CI](https://github.com/fema-ffrd/hecstac/actions/workflows/dev-push.yaml/badge.svg?branch=dev)](https://github.com/fema-ffrd/hecstac/actions/workflows/dev-push.yaml)
[![Documentation Status](https://readthedocs.org/projects/hecstac/badge/?version=latest)](https://hecstac.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/hecstac.svg)](https://badge.fury.io/py/hecstac)
[![Docker Scout](https://github.com/fema-ffrd/hecstac/actions/workflows/docker-scout.yaml/badge.svg)](https://github.com/fema-ffrd/hecstac/actions/workflows/docker-scout.yaml)

Utilities for creating STAC items from HEC models

**hecstac** is an open-source Python library designed to mine metadata from HEC model simulations for use in the development of catalogs documenting probabilistic flood studies. This project automates the generation of STAC Items and Assets from HEC-HMS and HEC-RAS model files, enabling improved data and metadata management.

## Installation

This package may be installed using pip with the following command

```
$ pip install hecstac
```

## FFRD

While `hecstac` was created principally in support of FFRD pilot projects, the ability to create STAC based metadata items for HEC models (RAS and HMS in particular) has guided some design and implementation decisions that make it flexible enough to support more generalized use cases.

There will be modules and workflows that are very specifically designed for FFRD, and those will be generally distinguishable via _ffrd_ in the name of the file / class function / etc. The Dockerfiles that are included in the repo are designed specifically in support of these pilots, and as such are not meant for general “out-of-the-box” use cases. For specifics on FFRD use cases please see the documentation.

## Examples

For some example workflows, please [read the docs](https://hecstac.readthedocs.io/en/latest/user_guide.html#workflows).
django-select2 8.4.8
This is a Django_ integration of Select2_.
Requires Python: >=3.10
Keywords: Django, select2, autocomplete, typeahead

<p align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="https://github.com/codingjoe/django-select2/raw/main/images/logo-dark.svg">
    <source media="(prefers-color-scheme: light)" srcset="https://github.com/codingjoe/django-select2/raw/main/images/logo-light.svg">
    <img alt="Django Select2: Custom autocomplete fields for Django" src="https://github.com/codingjoe/django-select2/raw/main/images/logo-light.svg">
  </picture>
<br>
  <a href="https://django-select2.rtfd.io">Documentation</a> |
  <a href="https://github.com/codingjoe/django-select2/issues/new/choose">Issues</a> |
  <a href="https://github.com/codingjoe/django-select2/releases">Changelog</a> |
  <a href="https://github.com/sponsors/codingjoe">Funding</a> 💚
</p>

# Django-Select2

[![version](https://img.shields.io/pypi/v/Django-Select2.svg)](https://pypi.python.org/pypi/Django-Select2/)
[![coverage](https://codecov.io/gh/codingjoe/django-select2/branch/main/graph/badge.svg)](https://codecov.io/gh/codingjoe/django-select2)
[![license](https://img.shields.io/badge/license-MIT-blue.svg)](https://raw.githubusercontent.com/codingjoe/django-select2/main/LICENSE.txt)

Custom autocomplete fields for [Django](https://www.djangoproject.com/).

## Documentation

Documentation available at <https://django-select2.rtfd.io>.

> [!NOTE]
> Django's admin comes with builtin support for Select2 via the [autocomplete_fields](https://docs.djangoproject.com/en/stable/ref/contrib/admin/#django.contrib.admin.ModelAdmin.autocomplete_fields) feature.