semvec/pypi-packages huggingface dataset:
wanzhuan-mongodb-cong-rumen-dao-shizhan-fix1 2025.3.25.0
玩转MongoDB 从入门到实战
Requires Python: >=3.6

# 玩转MongoDB 从入门到实战

## 下载

### Docker

```
docker pull apachecn0/wanzhuan-mongodb-cong-rumen-dao-shizhan
docker run -tid -p <port>:80 apachecn0/wanzhuan-mongodb-cong-rumen-dao-shizhan
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wanzhuan-mongodb-cong-rumen-dao-shizhan
wanzhuan-mongodb-cong-rumen-dao-shizhan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wanzhuan-mongodb-cong-rumen-dao-shizhan
wanzhuan-mongodb-cong-rumen-dao-shizhan <port>
# 访问 http://localhost:{port} 查看文档
```
vod-wenti-paicha-yu-shizhan-shouce-fix1 2025.3.25.0
VoD 问题排查与实战手册
Requires Python: >=3.6

# VoD 问题排查与实战手册

## 下载

### Docker

```
docker pull apachecn0/vod-wenti-paicha-yu-shizhan-shouce
docker run -tid -p <port>:80 apachecn0/vod-wenti-paicha-yu-shizhan-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install vod-wenti-paicha-yu-shizhan-shouce
vod-wenti-paicha-yu-shizhan-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g vod-wenti-paicha-yu-shizhan-shouce
vod-wenti-paicha-yu-shizhan-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
circular-protocol-api 1.0.11
Circular Blockchain API written in Python 3
Requires Python: >=3.9

# Circular Protocol Python API

The Circular Protocol API suite provides a robust and efficient interface for interacting with the Circular Protocol, a decentralized and highly scalable blockchain network. These APIs enable developers to integrate, query, and execute operations on the Circular Protocol blockchain, supporting a wide range of decentralized applications (dApps), financial transactions, and smart contracts.

## Docs
Official documentation for the Python API and many more languages on [GitBook](https://circular-protocol.gitbook.io/circular-sdk/api-docs/python)

## Installation

You can install the package via pip. Here's how to do it:

```bash
pip install circular_protocol_api
```

Or cloning this repository with

```bash
pip install .
```

## Usage

Import the package and instantiate the Circular Protocol API class.

```python
from circular_protocol_api import CircularProtocolAPI

# Example usage
circular = CircularAPI()
blockchain = 0x8a20baa40c45dc5055aeb26197c203e576ef389d9acb171bd62da11dc5ad72b2
test_addr = 0xbd1d7ff426d094605a0902c78812dded6bbebdb42b20d9c722dc87bde0f30f44

print(circular.getWallet(blockchain, test_addr))

```


### Access data

The result is a Python dictionary so you could access values via the `.get()` method.

## License

This library is open-source and available for both private and commercial use. For detailed terms, please refer to the LICENSE file provided in the repository.

## Contact

- Author: Danny De Novi
- Email: dannydenovi29@gmail.com / info@circularlabs.io

---
mcp-gaodeweather-server 0.1.3
这是一个使用高德地图的天气接口,获取当前城市天气的demo
Requires Python: >=3.11
Keywords: gaodeweather, mcp, server

## 介绍

这是一个使用高德地图的天气接口，获取当前城市天气的demo。

## 使用方法


## MCP 配置

#### GAODE_KEY

需要一个高德地图的apikey，申请地址：https://lbs.amap.com/api/webservice/guide/api/weather


### uvx

```json
{
  "mcpServers": {
    "gaodeweather": {
      "name": "gaodeweather",
      "command": "uvx",
      "args": [
        "mcp-gaodeweather-server"
      ],
      "env": {
        "GAODE_KEY": "your apikey"
      }
    }
  }
}
```
testerhome-wiki-qita-heji-fix1 2025.3.25.1
TesterHome WIKI 其它合集
Requires Python: >=3.6

# TesterHome WIKI 其它合集

## 下载

### Docker

```
docker pull apachecn0/testerhome-wiki-qita-heji
docker run -tid -p <port>:80 apachecn0/testerhome-wiki-qita-heji
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install testerhome-wiki-qita-heji
testerhome-wiki-qita-heji <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g testerhome-wiki-qita-heji
testerhome-wiki-qita-heji <port>
# 访问 http://localhost:{port} 查看文档
```
testerhome-wiki-appnium-rumenjiaocheng-fix1 2025.3.25.0
TesterHome WIKI Appnium 入门教程
Requires Python: >=3.6

# TesterHome WIKI Appnium 入门教程

## 下载

### Docker

```
docker pull apachecn0/testerhome-wiki-appnium-rumenjiaocheng
docker run -tid -p <port>:80 apachecn0/testerhome-wiki-appnium-rumenjiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install testerhome-wiki-appnium-rumenjiaocheng
testerhome-wiki-appnium-rumenjiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g testerhome-wiki-appnium-rumenjiaocheng
testerhome-wiki-appnium-rumenjiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
testerhome-wiki-appium-gaoji-jinjie-jiaocheng-fix1 2025.3.25.1
TesterHome WIKI Appium 高级进阶教程
Requires Python: >=3.6

# TesterHome WIKI Appium 高级进阶教程

## 下载

### Docker

```
docker pull apachecn0/testerhome-wiki-appium-gaoji-jinjie-jiaocheng
docker run -tid -p <port>:80 apachecn0/testerhome-wiki-appium-gaoji-jinjie-jiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install testerhome-wiki-appium-gaoji-jinjie-jiaocheng
testerhome-wiki-appium-gaoji-jinjie-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g testerhome-wiki-appium-gaoji-jinjie-jiaocheng
testerhome-wiki-appium-gaoji-jinjie-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
tensorflow-qianghua-xuexi-chuyi-fix1 2025.3.25.0
TensorFlow 强化学习（初译）
Requires Python: >=3.6

# TensorFlow 强化学习（初译）

## 下载

### Docker

```
docker pull apachecn0/tensorflow-qianghua-xuexi-chuyi
docker run -tid -p <port>:80 apachecn0/tensorflow-qianghua-xuexi-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install tensorflow-qianghua-xuexi-chuyi
tensorflow-qianghua-xuexi-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g tensorflow-qianghua-xuexi-chuyi
tensorflow-qianghua-xuexi-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
tensorflow-lite-ml-kit-he-flutter-yidong-shendu-xuexi-chuyi-fix1 2025.3.25.0
TensorFlow Lite，ML Kit 和 Flutter 移动深度学习（初译）
Requires Python: >=3.6

# TensorFlow Lite，ML Kit 和 Flutter 移动深度学习（初译）

## 下载

### Docker

```
docker pull apachecn0/tensorflow-lite-ml-kit-he-flutter-yidong-shendu-xuexi-chuyi
docker run -tid -p <port>:80 apachecn0/tensorflow-lite-ml-kit-he-flutter-yidong-shendu-xuexi-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install tensorflow-lite-ml-kit-he-flutter-yidong-shendu-xuexi-chuyi
tensorflow-lite-ml-kit-he-flutter-yidong-shendu-xuexi-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g tensorflow-lite-ml-kit-he-flutter-yidong-shendu-xuexi-chuyi
tensorflow-lite-ml-kit-he-flutter-yidong-shendu-xuexi-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
tensorflow-he-keras-yingyong-kaifa-rumen-chuyi-fix1 2025.3.25.0
TensorFlow 和 Keras 应用开发入门（初译）
Requires Python: >=3.6

# TensorFlow 和 Keras 应用开发入门（初译）

## 下载

### Docker

```
docker pull apachecn0/tensorflow-he-keras-yingyong-kaifa-rumen-chuyi
docker run -tid -p <port>:80 apachecn0/tensorflow-he-keras-yingyong-kaifa-rumen-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install tensorflow-he-keras-yingyong-kaifa-rumen-chuyi
tensorflow-he-keras-yingyong-kaifa-rumen-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g tensorflow-he-keras-yingyong-kaifa-rumen-chuyi
tensorflow-he-keras-yingyong-kaifa-rumen-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
tensorflow-2-he-keras-gaoji-shendu-xuexi-chuyi-fix1 2025.3.25.0
TensorFlow 2 和 Keras 高级深度学习（初译）
Requires Python: >=3.6

# TensorFlow 2 和 Keras 高级深度学习（初译）

## 下载

### Docker

```
docker pull apachecn0/tensorflow-2-he-keras-gaoji-shendu-xuexi-chuyi
docker run -tid -p <port>:80 apachecn0/tensorflow-2-he-keras-gaoji-shendu-xuexi-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install tensorflow-2-he-keras-gaoji-shendu-xuexi-chuyi
tensorflow-2-he-keras-gaoji-shendu-xuexi-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g tensorflow-2-he-keras-gaoji-shendu-xuexi-chuyi
tensorflow-2-he-keras-gaoji-shendu-xuexi-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
ARTOF 0.3.2
The ARTOF is a tool to read, process and analyze data collected from angle resolved time of flight (ARToF) sensors of the PS-ISRR.
Requires Python: >=3.10

# ARTOF
The ARTOF package is a tool to read, process and analyze data collected from angle resolved time of flight (ARTOF) sensors.

## Getting started
To use this package python version >=3.10 is needed. The installation can be done using the command:
```bash
pip install ARTOF
```

## Documentation
The documenation can be found [here](https://artof-42d889.pages.hzdr.de/main/). It is automatically generated from the docstrings in all python classes.

## Workflow
The implementation of a new feature should be conducted as follows:
1. Create a new branch with a sensible name as a fork from `dev`.
2. Implement features including documentation.
3. If required, make changes to the Sphinx documenation under `docs/source/`.
4. Check if all excisting tests are still working (cmd: `pytest`) and write new test functions using.
5. If there were changes to `dev` since the initial fork, merge it into your branch and resolve conflicts.
6. Increase version number in `setup.cfg` file.
7. Push all changes to the remote repository and create a merge request to `dev`.
8. Make sure all tests succeed in the pipeline and merge.
9. When enough changes accumulate, create a merge request to `main` once enough features accumulated to roll out a new version. Make again sure all test pipelines succeed.
10. After merging to `main` a new version of the package is released to PyPi upon a successful pipeline run.

## Issues and new features
Issues and new feature requests can be added [here](https://codebase.helmholtz.cloud/carl.meier/artof/-/issues).

## Development version
A version with features under development is available under the TestPyPi repository and can be installed as followed:
```bash
pip install --index-url https://test.pypi.org/simple/ ARTOF
```
The documentation can be found [here](https://artof-42d889.pages.hzdr.de/dev/).
tensorflow-2-0-de-xinzeng-gongneng-chuyi-fix1 2025.3.25.0
TensorFlow 2.0 的新增功能（初译）
Requires Python: >=3.6

# TensorFlow 2.0 的新增功能（初译）

## 下载

### Docker

```
docker pull apachecn0/tensorflow-2-0-de-xinzeng-gongneng-chuyi
docker run -tid -p <port>:80 apachecn0/tensorflow-2-0-de-xinzeng-gongneng-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install tensorflow-2-0-de-xinzeng-gongneng-chuyi
tensorflow-2-0-de-xinzeng-gongneng-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g tensorflow-2-0-de-xinzeng-gongneng-chuyi
tensorflow-2-0-de-xinzeng-gongneng-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
tengxun-daima-anquan-zhinan-fix1 2025.3.25.0
腾讯代码安全指南
Requires Python: >=3.6

# 腾讯代码安全指南

## 下载

### Docker

```
docker pull apachecn0/tengxun-daima-anquan-zhinan
docker run -tid -p <port>:80 apachecn0/tengxun-daima-anquan-zhinan
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install tengxun-daima-anquan-zhinan
tengxun-daima-anquan-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g tengxun-daima-anquan-zhinan
tengxun-daima-anquan-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```
taoxiqianren-qianmian-fenfa-tixi-quan-chaijie-fix1 2025.3.25.0
淘系千人千面分发体系全拆解
Requires Python: >=3.6

# 淘系千人千面分发体系全拆解

## 下载

### Docker

```
docker pull apachecn0/taoxiqianren-qianmian-fenfa-tixi-quan-chaijie
docker run -tid -p <port>:80 apachecn0/taoxiqianren-qianmian-fenfa-tixi-quan-chaijie
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install taoxiqianren-qianmian-fenfa-tixi-quan-chaijie
taoxiqianren-qianmian-fenfa-tixi-quan-chaijie <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g taoxiqianren-qianmian-fenfa-tixi-quan-chaijie
taoxiqianren-qianmian-fenfa-tixi-quan-chaijie <port>
# 访问 http://localhost:{port} 查看文档
```
supet-dazao-gongsheng-xing-gongye-hulianwang-pingtai-shengtai-baipishu-fix1 2025.3.25.1
supET：打造共生型工业互联网平台生态白皮书
Requires Python: >=3.6

# supET：打造共生型工业互联网平台生态白皮书

## 下载

### Docker

```
docker pull apachecn0/supet-dazao-gongsheng-xing-gongye-hulianwang-pingtai-shengtai-baipishu
docker run -tid -p <port>:80 apachecn0/supet-dazao-gongsheng-xing-gongye-hulianwang-pingtai-shengtai-baipishu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install supet-dazao-gongsheng-xing-gongye-hulianwang-pingtai-shengtai-baipishu
supet-dazao-gongsheng-xing-gongye-hulianwang-pingtai-shengtai-baipishu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g supet-dazao-gongsheng-xing-gongye-hulianwang-pingtai-shengtai-baipishu
supet-dazao-gongsheng-xing-gongye-hulianwang-pingtai-shengtai-baipishu <port>
# 访问 http://localhost:{port} 查看文档
```
suanfa-tongguan-shouce-itcharge-fix1 2025.3.25.1
算法通关手册（ITCharge）
Requires Python: >=3.6

# 算法通关手册（ITCharge）

## 下载

### Docker

```
docker pull apachecn0/suanfa-tongguan-shouce-itcharge
docker run -tid -p <port>:80 apachecn0/suanfa-tongguan-shouce-itcharge
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install suanfa-tongguan-shouce-itcharge
suanfa-tongguan-shouce-itcharge <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g suanfa-tongguan-shouce-itcharge
suanfa-tongguan-shouce-itcharge <port>
# 访问 http://localhost:{port} 查看文档
```