semvec/pypi-packages huggingface dataset:
spark-graphx-yuanma-fenxi 2024.3.3.0
Spark GraphX源码分析
Requires Python: >=3.6

# Spark GraphX源码分析

## 下载

### Docker

```
docker pull apachecn0/spark-graphx-yuanma-fenxi
docker run -tid -p <port>:80 apachecn0/spark-graphx-yuanma-fenxi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install spark-graphx-yuanma-fenxi
spark-graphx-yuanma-fenxi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g spark-graphx-yuanma-fenxi
spark-graphx-yuanma-fenxi <port>
# 访问 http://localhost:{port} 查看文档
```
souyunku-spring-boot-cloud-jiaocheng 2024.3.3.0
搜云库 Spring Boot & Cloud 教程
Requires Python: >=3.6

# 搜云库 Spring Boot & Cloud 教程

## 下载

### Docker

```
docker pull apachecn0/souyunku-spring-boot-cloud-jiaocheng
docker run -tid -p <port>:80 apachecn0/souyunku-spring-boot-cloud-jiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install souyunku-spring-boot-cloud-jiaocheng
souyunku-spring-boot-cloud-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g souyunku-spring-boot-cloud-jiaocheng
souyunku-spring-boot-cloud-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
solidity-guanfang-wendang-zhongwenban 2024.3.3.0
Solidity 官方文档中文版
Requires Python: >=3.6

# Solidity 官方文档中文版

## 下载

### Docker

```
docker pull apachecn0/solidity-guanfang-wendang-zhongwenban
docker run -tid -p <port>:80 apachecn0/solidity-guanfang-wendang-zhongwenban
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install solidity-guanfang-wendang-zhongwenban
solidity-guanfang-wendang-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g solidity-guanfang-wendang-zhongwenban
solidity-guanfang-wendang-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```
sklearn-yu-tensorflow-jiqi-xuexi-shiyong-zhinan-zhongwenban-2018-6-20 2024.3.3.0
Sklearn 与 TensorFlow 机器学习实用指南中文版 2018.6.20
Requires Python: >=3.6

# Sklearn 与 TensorFlow 机器学习实用指南中文版 2018.6.20

## 下载

### Docker

```
docker pull apachecn0/sklearn-yu-tensorflow-jiqi-xuexi-shiyong-zhinan-zhongwenban-2018-6-20
docker run -tid -p <port>:80 apachecn0/sklearn-yu-tensorflow-jiqi-xuexi-shiyong-zhinan-zhongwenban-2018-6-20
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install sklearn-yu-tensorflow-jiqi-xuexi-shiyong-zhinan-zhongwenban-2018-6-20
sklearn-yu-tensorflow-jiqi-xuexi-shiyong-zhinan-zhongwenban-2018-6-20 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g sklearn-yu-tensorflow-jiqi-xuexi-shiyong-zhinan-zhongwenban-erlingyiba-6-erling
sklearn-yu-tensorflow-jiqi-xuexi-shiyong-zhinan-zhongwenban-erlingyiba-6-erling <port>
# 访问 http://localhost:{port} 查看文档
```
sitanfu-cs183f-yc-chuangye-ke-2017-zhongwen-biji 2024.3.3.0
斯坦福 CS183f YC 创业课 2017 中文笔记
Requires Python: >=3.6

# 斯坦福 CS183f YC 创业课 2017 中文笔记

## 下载

### Docker

```
docker pull apachecn0/sitanfu-cs183f-yc-chuangye-ke-2017-zhongwen-biji
docker run -tid -p <port>:80 apachecn0/sitanfu-cs183f-yc-chuangye-ke-2017-zhongwen-biji
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install sitanfu-cs183f-yc-chuangye-ke-2017-zhongwen-biji
sitanfu-cs183f-yc-chuangye-ke-2017-zhongwen-biji <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g sitanfu-csyibasanf-yc-chuangye-ke-erlingyiqi-zhongwen-biji
sitanfu-csyibasanf-yc-chuangye-ke-erlingyiqi-zhongwen-biji <port>
# 访问 http://localhost:{port} 查看文档
```
sitanfu-cs183c-shandianshi-kuozhang-zhongwen-biji 2024.3.3.0
斯坦福 CS183c 闪电式扩张中文笔记
Requires Python: >=3.6

# 斯坦福 CS183c 闪电式扩张中文笔记

## 下载

### Docker

```
docker pull apachecn0/sitanfu-cs183c-shandianshi-kuozhang-zhongwen-biji
docker run -tid -p <port>:80 apachecn0/sitanfu-cs183c-shandianshi-kuozhang-zhongwen-biji
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install sitanfu-cs183c-shandianshi-kuozhang-zhongwen-biji
sitanfu-cs183c-shandianshi-kuozhang-zhongwen-biji <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g sitanfu-csyibasanc-shandianshi-kuozhang-zhongwen-biji
sitanfu-csyibasanc-shandianshi-kuozhang-zhongwen-biji <port>
# 访问 http://localhost:{port} 查看文档
```