semvec/pypi-packages huggingface dataset:
search-engine-tool 0.3.0
搜索引擎API Bing / Google / Yahoo / Baidu / Sogou / 360
License: MIT

# 项目说明
```
https://github.com/bravekingzhang/search-engine-tool 项目的python版本

原项目使用 node + puppeteer 
python版本使用 selenium
```

# 安装
```bash
pip install search-engine-tool
```

# 使用
```python
from search_engine_tool import bing

def test_bing():
    try:
        data = bing.search("深圳天气")
        for d in data:
            print(d)
    except Exception as e:
        print(e)


if __name__ == '__main__':
    test_bing()
```
# 返回格式 
```python
[
    {
        "abstract": "Web目前天氣. PM2:04. 84° F. RealFeel® 93°. RealFeel Shade™ 89°. 空氣品質 不佳. 風 西南偏西 6英里/小时. 風速 6英里/小时. 陰 更多詳情.",
        "href": "https://www.accuweather.com/zh/cn/shenzhen/58194/weather-forecast/58194",
        "title": "深圳, 廣東省, 中國 三日天氣預報 | AccuWeather"
    },
    ...
]
```

# 支持搜索引擎
```
Bing
Google (需要调用方自身能够访问)
Yahoo
```

# Todo 
```
1 处理人机验证
2 支持翻页参数
3 支持 Badiu / Sogou / so.cn 国内搜索网站
4 百度百科
5 wikipedia 支持
```
exoplanet 0.6.0
Fast and scalable MCMC for all your exoplanet needs
License: MIT
Requires Python: >=3.6

<p align="center">
  <img width="240" src="https://raw.githubusercontent.com/exoplanet-dev/exoplanet/main/docs/_static/logo.png">
  <br><br>
  <a href="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml">
    <img src="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml/badge.svg" alt="Tests">
  </a>
  <a href="https://docs.exoplanet.codes">
    <img src="https://readthedocs.org/projects/exoplanet/badge/?version=latest" alt="Docs">
  </a>
  <a href="https://coveralls.io/github/exoplanet-dev/exoplanet?branch=main">
    <img src="https://coveralls.io/repos/github/exoplanet-dev/exoplanet/badge.svg?branch=main" alt="Coverage">
  </a>
</p>

# exoplanet

Fast & scalable MCMC for all your exoplanet needs! _exoplanet_ is a toolkit for
probabilistic modeling of time series data in astronomy with a focus on
observations of [exoplanets](https://en.wikipedia.org/wiki/Exoplanet), using
[PyMC](https://www.pymc.io). _PyMC_ is a flexible and high-performance
model-building language and inference engine that scales well to problems with a
large number of parameters. _exoplanet_ extends _PyMC_'s language to support
many of the custom functions and distributions required when fitting exoplanet
datasets.

Read the full documentation at [docs.exoplanet.codes](https://docs.exoplanet.codes).

## Installation

The quickest way to get started is to use [pip](https://pip.pypa.io):

```bash
python -m pip install "exoplanet[pymc]"
```

Note that you will need Python (>=3.6) installed for this to work, but then this
will install all the required dependencies.

Check out the [main installation documentation
page](https://docs.exoplanet.codes/en/latest/user/install/) for more options.

## Usage

Check out the tutorials and API docs on [the docs
page](https://docs.exoplanet.codes) for example usage and much more info. You
can also find more in-depth examples on the [exoplanet case studies
page](https://gallery.exoplanet.codes).

## Contributing

_exoplanet_ is an open-source project, and we would love it if you wanted to
contribute. Check out [the developer
documentation](https://docs.exoplanet.codes/en/latest/user/dev/) for more info
about getting started.