semvec/pypi-packages huggingface dataset:
pynws 2.1.0
Python library to retrieve observations and forecasts from NWS/NOAA
Requires Python: >=3.9
Keywords: nws, weather

# pynws

A python library to asynchronously retrieve weather observation from NWS/NOAA.

![PyPI - Downloads](https://img.shields.io/pypi/dm/pynws?style=flat-square)

## Example
See [example.py](example.py) for a runnable example.
```python
PHILLY = (39.95, -75.16)
USERID = "testing@address.xyz"

async def example():
    async with aiohttp.ClientSession() as session:
        nws = pynws.SimpleNWS(*PHILLY, USERID, session)
        await nws.set_station()
        await nws.update_observation()
        await nws.update_forecast()
        await nws.update_alerts_forecast_zone()
        print(nws.observation)
        print(nws.forecast[0])
        print(nws.alerts_forecast_zone)
```

## Functionality
pynws exposes the ability to retrieve raw data using `raw_data` module. `Nws` class offers ability to retrieve minimally processed data for a single location.  `SimpleNWS` class offers data caching and several other helpers for interpreting output.


### Units for Observations in SimpleNWS
NWS API does not expose all possible units for observations.  Known units are converted to the following:

|unit type   | known NWS units| pynws unit |
|------------|----------------|------------|
|temperature | degF, degC     | Celsius    |
|pressure    | Pa             | Pascal     |
|speed       | m_s-1, km_h-1  | km_h-1     |
|percent     | percent        | percent    |
|angle       | degree_(angle) | degrees    |
|distance    | m              | meter      |
lsoph 0.0.4
use strace or lsof to peek at file events
Requires Python: >=3.10

# 📁 `lsoph`

TUI that lists open files for a given process.

Usage:

```shell
uvx lsoph -p <pid>
```

* [🎬 demo](https://asciinema.org/a/c7T8id39jU7ap6E0D99S5dJ6F)
* [🏠 home](https://bitplane.net/dev/python/lsoph)
* [🐱 github](https://github.com/bitplane/lsoph)
* [🐍 pypi](https://pypi.org/project/lsoph)
arbor 0.11.0
High performance simulation of networks of multicompartment neurons.
Requires Python: >=3.10
Keywords: simulator, neuroscience, morphological detail, HPC, GPU, C++

[![ci](https://github.com/arbor-sim/arbor/actions/workflows/test-matrix.yml/badge.svg)](https://github.com/arbor-sim/arbor/actions/workflows/test-matrix.yml)
[![spack](https://github.com/arbor-sim/arbor/actions/workflows/test-spack.yml/badge.svg)](https://github.com/arbor-sim/arbor/actions/workflows/test-spack.yml)
[![pip](https://github.com/arbor-sim/arbor/actions/workflows/test-pip.yml/badge.svg)](https://github.com/arbor-sim/arbor/actions/workflows/test-pip.yml)
[![pythonwheels](https://github.com/arbor-sim/arbor/actions/workflows/build-pip-wheels.yml/badge.svg)](https://github.com/arbor-sim/arbor/actions/workflows/build-pip-wheels.yml)
[![gitpod](https://img.shields.io/badge/Gitpod-Ready--to--Code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/arbor-sim/arbor)
[![docs](https://readthedocs.org/projects/arbor/badge/?version=latest)](https://docs.arbor-sim.org/en/latest/)
[![gitter](https://badges.gitter.im/arbor-sim/community.svg)](https://gitter.im/arbor-sim/community)
[![CodeQL](https://github.com/arbor-sim/arbor/actions/workflows/codeql.yml/badge.svg?branch=master)](https://github.com/arbor-sim/arbor/actions/workflows/codeql.yml)

# Arbor Library

[Arbor](https://arbor-sim.org) is a library for implementing performance portable network simulations of multi-compartment neuron models.

An installation guide and library documentation are available online at [docs.arbor-sim.org](http://docs.arbor-sim.org).

[Submit a ticket](https://github.com/arbor-sim/arbor/issues) or [join Gitter](https://gitter.im/arbor-sim/community) or [Matrix](https://matrix.to/#/#arbor-sim_community:gitter.im) if you have any questions or need help.

### Citing Arbor

The Arbor introductory paper and entry on Zenodo can be cited, see [CITATION.bib](CITATION.bib). Please refer to [our documentation](https://docs.arbor-sim.org/en/latest/index.html#citing-arbor) for more information.
ll-kugou-lyric-api 0.1.4
A simple Kugou lyrics fetcher
Requires Python: >=3.7

# Kugou Lyrics API

这是一个用于获取酷狗音乐歌词的 Python API 包。
只需要你拥有歌曲名称、作者（最好还能有歌曲长度），就可以得到对应的LRC格式歌词数据。

## 本地安装

1. 克隆项目：

    ```bash
    git clone https://github.com/1053278842/kugou_lyric_api.git
    cd kugou_lyric_api
    ```

2. 安装本地开发模式：
    使用下面命令安装项目必须依赖：

    ```bash
    pip install .\requirements.txt
    ```

    使用以下命令安装当前项目包（以便进行开发和修改）：

    ```bash
    pip install -e .
    ```

    这将会安装项目并使其可在本地环境中开发。

## 直接使用

1. 引入必要包

     ```bash
    pip install ll_kugou_lyric_api
    ```
    
2. 在 Python 环境中使用本项目，以下是如何导入和使用该包的示例：

    ps:KugouApi()第三个参数是可选参数--歌曲长度(精确到ms).使用将有效提升准确度

    ```python
    from ll_kugou_lyric_api.core import KugouApi

    if __name__ == "__main__":
    # api =  KugouApi("朵","赵雷")
    # api =  KugouApi("Kids","Two Door Cinema Club")
    # api =  KugouApi("Пятница (星期五)","Дела Поважнее")
    # api =  KugouApi("You Make My Dreams (Come True)","Daryl Hall & John Oates")

    api =  KugouApi("背影","赵雷",352000)
    # api =  KugouApi("十万嬉皮","万能青年旅店",285000)
    # api =  KugouApi("the prom","GLAIVE",131000)
    print(api.get_kugou_lrc()) 
    ```
pyneople 1.0.3
Neople Open API wrapper with MongoDB and PostgreSQL support for data pipelines
Requires Python: >=3.9

# pyneople

**Neople Open API 기반 데이터 수집 및 저장 라이브러리**

pyneople은 Neople Open API를 사용하여 데이터를 수집하고,  
MongoDB 및 PostgreSQL에 저장할 수 있도록 지원하는 Python 라이브러리입니다.

---

## Installation

```bash
pip install pyneople
```

## Quick Example
```python
from pyneople.api_to_mongo import api_to_mongo

endpoints = ['character_time', 'character_fame']
api_to_mongo(endpoints)
```
netstandard-stubs 2.0.1
Unofficial type stubs for .NET Standard
Requires Python: >=3.8

# Python type stubs for .NET Standard

This repository contains unofficial Python type stubs for 
[.NET Standard](https://learn.microsoft.com/en-us/dotnet/standard/net-standard),
that can be used to improve IDE experience for developers using
[Python.NET](https://github.com/pythonnet/pythonnet).

The initial type stubs were generated using the 
[pythonnet-stub-generator](https://github.com/MHDante/pythonnet-stub-generator)
project.

Docstrings are based on the official .NET API documentation, which is
available at [dotnet-api-docs](https://github.com/dotnet/dotnet-api-docs)
under a CC BY 4.0 license.

At the moment this project is focused on type stubs for .NET Standard 2.0.  

# Versioning

Versions will follow the `x.y.z` format, where `x.y` is the targeted version of
.NET Standard and `z` is the version of the stubs themselves.

So if you want to make sure, that type stubs cover only, for example, .NET
Standard 2.0, specify the version constraints like this:

```requirements
netstandard>=2.0,<2.1
```

# Installation

You can install netstandard-stubs with pip:

```shell
pip install netstandard-stubs
```
whichprovides 0.4.0
Module which provides 'yum provides' functionality across many package managers
Requires Python: >=3.9

# whichprovides

Package manager agnostic support for "`yum whichprovides`"
which maps a file back to its providing package. This is
useful for generating a package URL (PURL) identifier.

You can install the package from PyPI like so:

```terminal
$ python -m pip install whichprovides
```

You can also "splat" the module into your own projects:

```terminal
$ git clone https://codeberg.org/sethmlarson/whichprovides
$ cp whichprovides/src/whichprovides/__init__.py ./whichprovides.py
```

Then use the `whichprovides()` API inside of Python code:

```python
>>> import whichprovides
>>> whichprovides.whichprovides("/usr/lib/x86_64-linux-gnu/libssl3.so")

ProvidedBy(
  package_type='deb',
  distro='ubuntu',
  package_name='libnss3',
  package_version='2:3.98-0ubuntu0.22.04.2'
)
```

The functionality is also accessible from the command line:

```terminal
$ python -m pip install whichprovides
$ python -m whichprovides /usr/lib/x86_64-linux-gnu/libssl3.so 

pkg:deb/ubuntu/libnss3@2:3.98-0ubuntu0.22.04.2
```