semvec/pypi-packages huggingface dataset:
python-shuju-keshihua-zhinan 2023.2.7.0
Python 数据可视化指南
Requires Python: >=3.6

# Python 数据可视化指南

## 下载

### Docker

```
docker pull apachecn0/python-shuju-keshihua-zhinan
docker run -tid -p <port>:80 apachecn0/python-shuju-keshihua-zhinan
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-shuju-keshihua-zhinan
python-shuju-keshihua-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-shuju-keshihua-zhinan
python-shuju-keshihua-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```
python-shuju-keshihua-xuexi-shouce 2023.2.7.0
Python 数据可视化学习手册
Requires Python: >=3.6

# Python 数据可视化学习手册

## 下载

### Docker

```
docker pull apachecn0/python-shuju-keshihua-xuexi-shouce
docker run -tid -p <port>:80 apachecn0/python-shuju-keshihua-xuexi-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-shuju-keshihua-xuexi-shouce
python-shuju-keshihua-xuexi-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-shuju-keshihua-xuexi-shouce
python-shuju-keshihua-xuexi-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
python-shuju-keshihua-miji 2023.2.7.0
Python 数据可视化秘籍
Requires Python: >=3.6

# Python 数据可视化秘籍

## 下载

### Docker

```
docker pull apachecn0/python-shuju-keshihua-miji
docker run -tid -p <port>:80 apachecn0/python-shuju-keshihua-miji
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-shuju-keshihua-miji
python-shuju-keshihua-miji <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-shuju-keshihua-miji
python-shuju-keshihua-miji <port>
# 访问 http://localhost:{port} 查看文档
```
matplotlib-shiyong-zhinan 2023.2.7.0
Matplotlib 实用指南
Requires Python: >=3.6

# Matplotlib 实用指南

## 下载

### Docker

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

### PYPI

```
pip install matplotlib-shiyong-zhinan
matplotlib-shiyong-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g matplotlib-shiyong-zhinan
matplotlib-shiyong-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```
jingtong-python-shuju-keshihua 2023.2.7.0
精通 Python 数据可视化
Requires Python: >=3.6

# 精通 Python 数据可视化

## 下载

### Docker

```
docker pull apachecn0/jingtong-python-shuju-keshihua
docker run -tid -p <port>:80 apachecn0/jingtong-python-shuju-keshihua
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install jingtong-python-shuju-keshihua
jingtong-python-shuju-keshihua <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g jingtong-python-shuju-keshihua
jingtong-python-shuju-keshihua <port>
# 访问 http://localhost:{port} 查看文档
```
bokeh-shuju-keshihua-shiyong-zhinan 2023.2.7.0
Bokeh 数据可视化实用指南
Requires Python: >=3.6

# Bokeh 数据可视化实用指南

## 下载

### Docker

```
docker pull apachecn0/bokeh-shuju-keshihua-shiyong-zhinan
docker run -tid -p <port>:80 apachecn0/bokeh-shuju-keshihua-shiyong-zhinan
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install bokeh-shuju-keshihua-shiyong-zhinan
bokeh-shuju-keshihua-shiyong-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g bokeh-shuju-keshihua-shiyong-zhinan
bokeh-shuju-keshihua-shiyong-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```
xiandai-tuxiangchuli-suanfa-jiaocheng 2023.2.7.0
现代图像处理算法教程
Requires Python: >=3.6

# 现代图像处理算法教程

## 下载

### Docker

```
docker pull apachecn0/xiandai-tuxiangchuli-suanfa-jiaocheng
docker run -tid -p <port>:80 apachecn0/xiandai-tuxiangchuli-suanfa-jiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xiandai-tuxiangchuli-suanfa-jiaocheng
xiandai-tuxiangchuli-suanfa-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xiandai-tuxiangchuli-suanfa-jiaocheng
xiandai-tuxiangchuli-suanfa-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
weiruan-jisuanji-shijue-api-jingcui 2023.2.7.0
微软计算机视觉 API 精粹
Requires Python: >=3.6

# 微软计算机视觉 API 精粹

## 下载

### Docker

```
docker pull apachecn0/weiruan-jisuanji-shijue-api-jingcui
docker run -tid -p <port>:80 apachecn0/weiruan-jisuanji-shijue-api-jingcui
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install weiruan-jisuanji-shijue-api-jingcui
weiruan-jisuanji-shijue-api-jingcui <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g weiruan-jisuanji-shijue-api-jingcui
weiruan-jisuanji-shijue-api-jingcui <port>
# 访问 http://localhost:{port} 查看文档
```
tensorflow-cnn-yu-swift-jiaocheng 2023.2.7.0
TensorFlow CNN 与 Swift 教程
Requires Python: >=3.6

# TensorFlow CNN 与 Swift 教程

## 下载

### Docker

```
docker pull apachecn0/tensorflow-cnn-yu-swift-jiaocheng
docker run -tid -p <port>:80 apachecn0/tensorflow-cnn-yu-swift-jiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install tensorflow-cnn-yu-swift-jiaocheng
tensorflow-cnn-yu-swift-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g tensorflow-cnn-yu-swift-jiaocheng
tensorflow-cnn-yu-swift-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
shumei-pai-he-arduino-jiqiren-rumen-shouce 2023.2.7.0
树莓派和 Arduino 机器人入门手册
Requires Python: >=3.6

# 树莓派和 Arduino 机器人入门手册

## 下载

### Docker

```
docker pull apachecn0/shumei-pai-he-arduino-jiqiren-rumen-shouce
docker run -tid -p <port>:80 apachecn0/shumei-pai-he-arduino-jiqiren-rumen-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shumei-pai-he-arduino-jiqiren-rumen-shouce
shumei-pai-he-arduino-jiqiren-rumen-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shumei-pai-he-arduino-jiqiren-rumen-shouce
shumei-pai-he-arduino-jiqiren-rumen-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
periodic-simpletime-1.0.0 1.0.0
A periodic event time management helper
Requires Python: >=3.7

# PeriodicSimpleTime

This package helps to manage periodic events.

### Calculate next periodic datetime
```
# for this example, current utc time is 2023-01-01 11:56:02
period = SimpleTime(minute=5)
next_end_dt = SimpleTime.get_next_end_dt(period)
> 2023-01-01 12:00:00 (utc)
```