semvec/pypi-packages huggingface dataset:
networksampler 0.1.0
Python package to measure network centrality
Requires Python: >=3.10

[![PyPI Version](https://img.shields.io/badge/pypi-0.1.0-blue)](https://pypi.org/project/networksampler/) 
[![License: LGPL v3](https://img.shields.io/badge/License-LGPL%20v3-blue)](https://github.com/edgresearch/pylib_networksampler/blob/master/LICENSE) 

# NetworkSampler

Python package to measure network centrality.

The currenf available function is `nodes_centrality_measures(A)`.

This function extracts from an adjacency matrix several centrality measures: "degree", "closeness", "eigenvector", "betweeness".
kilroy-ws-server-py-sdk 0.5.0
SDK for WebSocket servers in Python 🧰
Requires Python: >=3.9,<4.0

<h1 align="center">kilroy-ws-server-py-sdk</h1>

<div align="center">

SDK for WebSocket servers in Python 🧰

[![Tests](https://github.com/kilroybot/kilroy-ws-server-py-sdk/actions/workflows/test-multiplatform.yml/badge.svg)](https://github.com/kilroybot/kilroy-ws-server-py-sdk/actions/workflows/test-multiplatform.yml)
[![Docs](https://github.com/kilroybot/kilroy-ws-server-py-sdk/actions/workflows/docs.yml/badge.svg)](https://github.com/kilroybot/kilroy-ws-server-py-sdk/actions/workflows/docs.yml)

</div>

---

## Installing

Using `pip`:

```sh
pip install kilroy-ws-server-py-sdk
```
reeco-ml-preprocessing 0.1.5
Package for ML preprocessing

# Reeco ML Preprocessing Library

Module for preprocessor

## Prerequisite

It is recommended to use Python 3.9 64bit since it is the environment that we developed the package.

## Installation

Using `pip`:

```
$ pip install reeco_ml_preprocessing
```

or

```
$ py -m pip reeco_ml_preprocessing
```

### Example

```python
import numpy as np
from reeco_ml_preprocessing import PreprocessPipeline
from reeco_ml_preprocessing.time_series.ts_imputer import TimeSeriesImputer

pipeline = PreprocessPipeline(
    [TimeSeriesImputer(method='linear')]
)
X = pd.DataFrame(
    {
        "a": 1, 2, 3, np.nan, 5
        "b": 0, 1, np.nan, np.nan, 4
    }
)
pipeline.fit_transform(X)
```
zhongji-taluo-aoyi 2022.8.10.0
终极塔罗奥义
Requires Python: >=3.6

# 终极塔罗奥义

## 下载

### Docker

```
docker pull apachecn0/zhongji-taluo-aoyi
docker run -tid -p <port>:80 apachecn0/zhongji-taluo-aoyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install zhongji-taluo-aoyi
zhongji-taluo-aoyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g zhongji-taluo-aoyi
zhongji-taluo-aoyi <port>
# 访问 http://localhost:{port} 查看文档
```
zhiye-zhanxing-quanshu 2022.8.10.0
职业占星全书
Requires Python: >=3.6

# 职业占星全书

## 下载

### Docker

```
docker pull apachecn0/zhiye-zhanxing-quanshu
docker run -tid -p <port>:80 apachecn0/zhiye-zhanxing-quanshu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install zhiye-zhanxing-quanshu
zhiye-zhanxing-quanshu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g zhiye-zhanxing-quanshu
zhiye-zhanxing-quanshu <port>
# 访问 http://localhost:{port} 查看文档
```
zhanxingyu-zhenwo 2022.8.10.0
占星与震我
Requires Python: >=3.6

# 占星与震我

## 下载

### Docker

```
docker pull apachecn0/zhanxingyu-zhenwo
docker run -tid -p <port>:80 apachecn0/zhanxingyu-zhenwo
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install zhanxingyu-zhenwo
zhanxingyu-zhenwo <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g zhanxingyu-zhenwo
zhanxingyu-zhenwo <port>
# 访问 http://localhost:{port} 查看文档
```
zhanxing-tuxing-xiangwei-quanshu 2022.8.10.0
占星图形相位全书
Requires Python: >=3.6

# 占星图形相位全书

## 下载

### Docker

```
docker pull apachecn0/zhanxing-tuxing-xiangwei-quanshu
docker run -tid -p <port>:80 apachecn0/zhanxing-tuxing-xiangwei-quanshu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install zhanxing-tuxing-xiangwei-quanshu
zhanxing-tuxing-xiangwei-quanshu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g zhanxing-tuxing-xiangwei-quanshu
zhanxing-tuxing-xiangwei-quanshu <port>
# 访问 http://localhost:{port} 查看文档
```
zhanxing-quanshu-shoucangban 2022.8.10.0
占星全书收藏版
Requires Python: >=3.6

# 占星全书收藏版

## 下载

### Docker

```
docker pull apachecn0/zhanxing-quanshu-shoucangban
docker run -tid -p <port>:80 apachecn0/zhanxing-quanshu-shoucangban
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install zhanxing-quanshu-shoucangban
zhanxing-quanshu-shoucangban <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g zhanxing-quanshu-shoucangban
zhanxing-quanshu-shoucangban <port>
# 访问 http://localhost:{port} 查看文档
```
zhanxing-quanshu 2022.8.10.0
占星全书
Requires Python: >=3.6

# 占星全书

## 下载

### Docker

```
docker pull apachecn0/zhanxing-quanshu
docker run -tid -p <port>:80 apachecn0/zhanxing-quanshu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install zhanxing-quanshu
zhanxing-quanshu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g zhanxing-quanshu
zhanxing-quanshu <port>
# 访问 http://localhost:{port} 查看文档
```
zhanxing-mofaxue 2022.8.10.0
占星魔法学
Requires Python: >=3.6

# 占星魔法学

## 下载

### Docker

```
docker pull apachecn0/zhanxing-mofaxue
docker run -tid -p <port>:80 apachecn0/zhanxing-mofaxue
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install zhanxing-mofaxue
zhanxing-mofaxue <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g zhanxing-mofaxue
zhanxing-mofaxue <port>
# 访问 http://localhost:{port} 查看文档
```