semvec/pypi-packages huggingface dataset:
qinghui-pmp-jiangyi-biaozhunban-v1-8-2-fix1 2025.3.25.1
清晖 PMP 讲义标准版 V1.8.2
Requires Python: >=3.6

# 清晖 PMP 讲义标准版 V1.8.2

## 下载

### Docker

```
docker pull apachecn0/qinghui-pmp-jiangyi-biaozhunban-v1-8-2
docker run -tid -p <port>:80 apachecn0/qinghui-pmp-jiangyi-biaozhunban-v1-8-2
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install qinghui-pmp-jiangyi-biaozhunban-v1-8-2
qinghui-pmp-jiangyi-biaozhunban-v1-8-2 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g qinghui-pmp-jiangyi-biaozhunban-v1-8-2
qinghui-pmp-jiangyi-biaozhunban-v1-8-2 <port>
# 访问 http://localhost:{port} 查看文档
```
olccolorconfig 1.0.0
Ein einfaches Farb-Config-Modul für CLI-Programme.
Requires Python: >=3.6

# olccolorconfig

Ein einfaches Modul fÃ¼r konsistente CLI-Farbkonfiguration mit `colorama`.

## Installation

```sh
pip install olccolorconfig
```

## Nutzung

```python
from olccolorconfig import COLORS
print(COLORS["success"] + "Erfolg!" + COLORS["reset"])
```

## Lizenz
MIT
qiangu-qianduan-tuwen-jiaocheng-fix1 2025.3.25.1
千古前端图文教程
Requires Python: >=3.6

# 千古前端图文教程

## 下载

### Docker

```
docker pull apachecn0/qiangu-qianduan-tuwen-jiaocheng
docker run -tid -p <port>:80 apachecn0/qiangu-qianduan-tuwen-jiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install qiangu-qianduan-tuwen-jiaocheng
qiangu-qianduan-tuwen-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g qiangu-qianduan-tuwen-jiaocheng
qiangu-qianduan-tuwen-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
color-config 0.1.1
Ein einfaches Farb-Config-Modul für CLI-Programme.
Requires Python: >=3.6

# color_config

Ein einfaches Modul fÃ¼r konsistente CLI-Farbkonfiguration mit `colorama`.

## Installation

```sh
pip install color_config
```

## Nutzung

```python
from color_config import COLORS
print(COLORS["success"] + "Erfolg!" + COLORS["reset"])
```

## Lizenz
MIT
backgen 0.1
Générateur de structure de projet backend
Requires Python: >=3.9


# <p align="center">Backend-Generator</p>
  
The aim of the application is to run a command in the terminal to create a project folder with everything you need for a back-end project in Python.

The current key commands are:
 ```bash
backgen --help
```
 ```bash
backgen create-project {name_of_project}
```
 ```bash
backgen generate-doc
```
 ```bash
backgen lint-code
```
 ```bash
backgen security-check
```
At the moment we're only in the testing phase, I'm working on the project solo, but if you want to join me, no worries :)
This is just a first version, I have lots of ideas for future additions.

[The Project](https://github.com/Jeck0v/Backend-generator)
python-zhineng-xiangmu-chuyi-fix1 2025.3.25.1
Python 智能项目（初译）
Requires Python: >=3.6

# Python 智能项目（初译）

## 下载

### Docker

```
docker pull apachecn0/python-zhineng-xiangmu-chuyi
docker run -tid -p <port>:80 apachecn0/python-zhineng-xiangmu-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-zhineng-xiangmu-chuyi
python-zhineng-xiangmu-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-zhineng-xiangmu-chuyi
python-zhineng-xiangmu-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
python-yuan-xuexi-shiyong-zhinan-2021-7-27-fix1-fix1 2025.3.25.1
Python 元学习实用指南（2021.7.27.fix1）
Requires Python: >=3.6

# Python 元学习实用指南（2021.7.27.fix1）

## 下载

### Docker

```
docker pull apachecn0/python-yuan-xuexi-shiyong-zhinan-2021-7-27-fix1
docker run -tid -p <port>:80 apachecn0/python-yuan-xuexi-shiyong-zhinan-2021-7-27-fix1
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-yuan-xuexi-shiyong-zhinan-2021-7-27-fix1
python-yuan-xuexi-shiyong-zhinan-2021-7-27-fix1 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-yuan-xuexi-shiyong-zhinan-erlingeryi-7-erqi-fix1
python-yuan-xuexi-shiyong-zhinan-erlingeryi-7-erqi-fix1 <port>
# 访问 http://localhost:{port} 查看文档
```
python-shuju-kexue-he-jiqi-xuexi-shijian-zhinan-chuyi-fix1 2025.3.25.1
Python 数据科学和机器学习实践指南（初译）
Requires Python: >=3.6

# Python 数据科学和机器学习实践指南（初译）

## 下载

### Docker

```
docker pull apachecn0/python-shuju-kexue-he-jiqi-xuexi-shijian-zhinan-chuyi
docker run -tid -p <port>:80 apachecn0/python-shuju-kexue-he-jiqi-xuexi-shijian-zhinan-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-shuju-kexue-he-jiqi-xuexi-shijian-zhinan-chuyi
python-shuju-kexue-he-jiqi-xuexi-shijian-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-shuju-kexue-he-jiqi-xuexi-shijian-zhinan-chuyi
python-shuju-kexue-he-jiqi-xuexi-shijian-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
python-shuju-kexue-benzhilun-chuyi-fix1 2025.3.25.1
Python 数据科学本质论（初译）
Requires Python: >=3.6

# Python 数据科学本质论（初译）

## 下载

### Docker

```
docker pull apachecn0/python-shuju-kexue-benzhilun-chuyi
docker run -tid -p <port>:80 apachecn0/python-shuju-kexue-benzhilun-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-shuju-kexue-benzhilun-chuyi
python-shuju-kexue-benzhilun-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-shuju-kexue-benzhilun-chuyi
python-shuju-kexue-benzhilun-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
python-shendu-xuexi-jiagou-shiyong-zhinan-chuyi-fix1 2025.3.25.1
Python 深度学习架构实用指南（初译）
Requires Python: >=3.6

# Python 深度学习架构实用指南（初译）

## 下载

### Docker

```
docker pull apachecn0/python-shendu-xuexi-jiagou-shiyong-zhinan-chuyi
docker run -tid -p <port>:80 apachecn0/python-shendu-xuexi-jiagou-shiyong-zhinan-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-shendu-xuexi-jiagou-shiyong-zhinan-chuyi
python-shendu-xuexi-jiagou-shiyong-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-shendu-xuexi-jiagou-shiyong-zhinan-chuyi
python-shendu-xuexi-jiagou-shiyong-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
python-qianghua-xuexi-shiyong-zhinan-chuyi-fix1 2025.3.25.1
Python 强化学习实用指南（初译）
Requires Python: >=3.6

# Python 强化学习实用指南（初译）

## 下载

### Docker

```
docker pull apachecn0/python-qianghua-xuexi-shiyong-zhinan-chuyi
docker run -tid -p <port>:80 apachecn0/python-qianghua-xuexi-shiyong-zhinan-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-qianghua-xuexi-shiyong-zhinan-chuyi
python-qianghua-xuexi-shiyong-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-qianghua-xuexi-shiyong-zhinan-chuyi
python-qianghua-xuexi-shiyong-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
python-opencv3-jisuanji-shijue-miji-chuyi-fix1 2025.3.25.1
Python OpenCV3 计算机视觉秘籍（初译）
Requires Python: >=3.6

# Python OpenCV3 计算机视觉秘籍（初译）

## 下载

### Docker

```
docker pull apachecn0/python-opencv3-jisuanji-shijue-miji-chuyi
docker run -tid -p <port>:80 apachecn0/python-opencv3-jisuanji-shijue-miji-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-opencv3-jisuanji-shijue-miji-chuyi
python-opencv3-jisuanji-shijue-miji-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-opencv3-jisuanji-shijue-miji-chuyi
python-opencv3-jisuanji-shijue-miji-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
pngquant 3.0.3
A Python Wrapper of pngquant
Requires Python: <4,>=3.7

========
pngquant
========

Pngquant is a command-line utility and a library for lossy compression of PNG images.

And This Library Is A Python Wrapper Of Pngquant

Install Pngquant
================

* https://pngquant.org/

* [pngquant 2.0 for ubuntu 12.04 not available](http://askubuntu.com/questions/469171/pngquant-2-0-for-ubuntu-12-04-not-available)

Install Python Wrapper Of Pngquant
==================================

::

    pip install pngquant


Usage
=====

::

    import pngquant

    pngquant.config('~/pngquant/pngquant')
    pngquant.quant_image('~/pngquant/pngquant/pngquant.png')


Method
======

::

    def config(self, quant_file=None, min_quality=None, max_quality=None, ndeep=None, ndigits=None, tmp_file=None):

    def quant_data(self, data=None, dst=None, ndeep=None, ndigits=None, delete=True):

    def quant_image(self, image=None, dst=None, ndeep=None, ndigits=None, override=True, delete=True):

    def quant_dir(self, dir=None, dst=None, ndeep=None, ndigits=None, override=True, delete=True, topdown=True):
chinese-administrative-divisions 1.0
中国行政区划查询包
Requires Python: >=3.6

# Chinese Administrative Divisions
        
        A Python package for querying Chinese administrative divisions.
        
        
        # Description
        This package provides a simple way to query Chinese administrative divisions by code or name. It includes data for all provinces, cities, and districts in China.
        
        
        # Installation
        
        You can install this package using pip：
        
        pip install chinese_administrative_divisions
        
        
        
        # Usage
        
        # Query by Code
        
        from chinese_administrative_divisions import get_division_name
        
         
        # Get division name by code
        
        print(get_division_name("110000"))  # Output: 北京市
        
        # Query by Name
        
        from chinese_administrative_divisions import get_division_code
        
        
        #Get division code by name
        
        print(get_division_code("上海市"))  # Output: 310000
        
        
        # Project Structure
        
        chinese_administrative_divisions/
        
        ├── chinese_administrative_divisions/
        
        │   ├── __init__.py
         
        │   ├── data.py
           
        │   └── query.py
           
        ├── setup.py
         
        └── README.md
        
        
        # Contributing
        If you want to contribute to this project, please follow these steps:
        
        1.Fork the repository
        
        2.Create a new branch for your feature or bug fix
        
        3.Make your changes
        
        4.Submit a pull request
        
        
        # License
        This project is licensed under the MIT License - see the LICENSE file for details.
python-opencv-jisuanji-shijue-xiangmu-chuyi-fix1 2025.3.25.0
Python OpenCV 计算机视觉项目（初译）
Requires Python: >=3.6

# Python OpenCV 计算机视觉项目（初译）

## 下载

### Docker

```
docker pull apachecn0/python-opencv-jisuanji-shijue-xiangmu-chuyi
docker run -tid -p <port>:80 apachecn0/python-opencv-jisuanji-shijue-xiangmu-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-opencv-jisuanji-shijue-xiangmu-chuyi
python-opencv-jisuanji-shijue-xiangmu-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-opencv-jisuanji-shijue-xiangmu-chuyi
python-opencv-jisuanji-shijue-xiangmu-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
python-opencv-3-x-shili-chuyi-fix1 2025.3.25.1
Python OpenCV 3.x 示例（初译）
Requires Python: >=3.6

# Python OpenCV 3.x 示例（初译）

## 下载

### Docker

```
docker pull apachecn0/python-opencv-3-x-shili-chuyi
docker run -tid -p <port>:80 apachecn0/python-opencv-3-x-shili-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-opencv-3-x-shili-chuyi
python-opencv-3-x-shili-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-opencv-3-x-shili-chuyi
python-opencv-3-x-shili-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
python-jiqiren-xuexi-shouce-chuyi-fix1 2025.3.25.1
Python 机器人学习手册（初译）
Requires Python: >=3.6

# Python 机器人学习手册（初译）

## 下载

### Docker

```
docker pull apachecn0/python-jiqiren-xuexi-shouce-chuyi
docker run -tid -p <port>:80 apachecn0/python-jiqiren-xuexi-shouce-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-jiqiren-xuexi-shouce-chuyi
python-jiqiren-xuexi-shouce-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-jiqiren-xuexi-shouce-chuyi
python-jiqiren-xuexi-shouce-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
python-heimofa-shouce-fix1 2025.3.25.1
Python 黑魔法手册
Requires Python: >=3.6

# Python 黑魔法手册

## 下载

### Docker

```
docker pull apachecn0/python-heimofa-shouce
docker run -tid -p <port>:80 apachecn0/python-heimofa-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-heimofa-shouce
python-heimofa-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-heimofa-shouce
python-heimofa-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
python-he-jupyter-jiqi-xuexi-rumen-chuyi-fix1 2025.3.25.1
Python 和 Jupyter 机器学习入门（初译）
Requires Python: >=3.6

# Python 和 Jupyter 机器学习入门（初译）

## 下载

### Docker

```
docker pull apachecn0/python-he-jupyter-jiqi-xuexi-rumen-chuyi
docker run -tid -p <port>:80 apachecn0/python-he-jupyter-jiqi-xuexi-rumen-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-he-jupyter-jiqi-xuexi-rumen-chuyi
python-he-jupyter-jiqi-xuexi-rumen-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-he-jupyter-jiqi-xuexi-rumen-chuyi
python-he-jupyter-jiqi-xuexi-rumen-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
pycharm-zhongwen-zhinan-fix1 2025.3.25.1
PyCharm 中文指南
Requires Python: >=3.6

# PyCharm 中文指南

## 下载

### Docker

```
docker pull apachecn0/pycharm-zhongwen-zhinan
docker run -tid -p <port>:80 apachecn0/pycharm-zhongwen-zhinan
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pycharm-zhongwen-zhinan
pycharm-zhongwen-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pycharm-zhongwen-zhinan
pycharm-zhongwen-zhinan <port>
# 访问 http://localhost:{port} 查看文档
```
postgresql-shizhan-jiaocheng-fix1 2025.3.25.1
PostgreSQL实战教程
Requires Python: >=3.6

# PostgreSQL实战教程

## 下载

### Docker

```
docker pull apachecn0/postgresql-shizhan-jiaocheng
docker run -tid -p <port>:80 apachecn0/postgresql-shizhan-jiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install postgresql-shizhan-jiaocheng
postgresql-shizhan-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g postgresql-shizhan-jiaocheng
postgresql-shizhan-jiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
postgresconfcn-2020-fix1 2025.3.25.0
PostgresConfCN 2020
Requires Python: >=3.6

# PostgresConfCN 2020

## 下载

### Docker

```
docker pull apachecn0/postgresconfcn-2020
docker run -tid -p <port>:80 apachecn0/postgresconfcn-2020
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install postgresconfcn-2020
postgresconfcn-2020 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g postgresconfcn-erlingerling
postgresconfcn-erlingerling <port>
# 访问 http://localhost:{port} 查看文档
```
pmpok-kaoqian-peixun-liuwei-fix1 2025.3.25.0
PMPOK 考前培训（刘伟）
Requires Python: >=3.6

# PMPOK 考前培训（刘伟）

## 下载

### Docker

```
docker pull apachecn0/pmpok-kaoqian-peixun-liuwei
docker run -tid -p <port>:80 apachecn0/pmpok-kaoqian-peixun-liuwei
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pmpok-kaoqian-peixun-liuwei
pmpok-kaoqian-peixun-liuwei <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pmpok-kaoqian-peixun-liuwei
pmpok-kaoqian-peixun-liuwei <port>
# 访问 http://localhost:{port} 查看文档
```
model-dynamic-vae-knime 1.0.8
A light weight command line menu that supports Windows, MacOS, and Linux
Keywords: python, menu, dumb_menu, windows, mac, linux


# dumb_menu

[![Downloads](https://static.pepy.tech/badge/dumb-menu)](https://pepy.tech/project/dumb-menu)

simple_term_menu don't support windows, so I made dumb_menu.

dumb_menu is not as powerful as simple_term_menu , but this a **GOOD OLD MENU** .

dumb_menu is a light weight command line menu that supports **Windows**, **MacOS**, and **Linux**.


## Installation

```
pip install dumb-menu
```

https://pypi.org/project/dumb-menu/

https://github.com/cornradio/dumb_menu (I want stars ⭐ uwu)

## Usage

example:

```python
import dumb_menu
options = ["[1]Option 1", "[2]Option 2", "[3]Option 3","[q]quit"]
index = dumb_menu.get_menu_choice(options)
print(f"You selected option {index + 1}: {options[index]}")
```


![png](https://raw.githubusercontent.com/cornradio/imgs/main/20230214163952.png)

another example:

```python
import os
import dumb_menu

def loopmenu():
    options = ["[1]happy",
            "[2]sad",
            "[3]give me a cookie",
            "[q]quit"]
    index = dumb_menu.get_menu_choice(options,isclean = True)
    # clear screen, cls for windows, clear for linux
    os.system('cls') 
    # Python 3.10+ only,old version could use if-else
    match index:
        case 0:
            print(":)")
        case 1:
            print(":(")
        case 2:
            print("🍪ヾ(•ω•`)o")
        case 3:
            exit()
    input('Press ENTER to continue...')

if __name__ == "__main__":
    while True:
        loopmenu()
```
![Imgur](https://i.imgur.com/7zjLt8g.png)


## Get help

Get help ➡️ [Github issue](https://github.com/cornradio/dumb_menu/issues)

## Update log


`1.0.8` add "return key string" option , add `demo.py`  As a straightforward example

```python
dumb_menu.get_menu_choice(options,give_key_str = True)
```

`1.0.7` fix "flickering on mac zsh" 

`1.0.6` forget write log in 1.0.5

`1.0.5` fix bug in 1.0.4

`1.0.4` support "clean mode" 

`1.0.3` show selected index also when using hotkey  

`1.0.2` first useable version

`1.0.1` fix bug

`1.0.0` first release

## how to upload a new version (for me)

en: https://packaging.python.org/tutorials/packaging-projects/ 

zh: https://python-packaging-zh.readthedocs.io/zh_CN/latest/minimal.html#id2

> make sure have twine installed first

1. change `setup.py`
2. testing `python3 setup.py develop`
3. `python3 setup.py sdist`
4. `twine upload dist/*`

test code :
```
python3

import dumb_menu
dumb_menu.demo()
```
pmp-xiangmuguanli-jiangyi-luoqingzhong-fix1 2025.3.25.0
PMP 项目管理讲义（骆庆中）
Requires Python: >=3.6

# PMP 项目管理讲义（骆庆中）

## 下载

### Docker

```
docker pull apachecn0/pmp-xiangmuguanli-jiangyi-luoqingzhong
docker run -tid -p <port>:80 apachecn0/pmp-xiangmuguanli-jiangyi-luoqingzhong
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pmp-xiangmuguanli-jiangyi-luoqingzhong
pmp-xiangmuguanli-jiangyi-luoqingzhong <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pmp-xiangmuguanli-jiangyi-luoqingzhong
pmp-xiangmuguanli-jiangyi-luoqingzhong <port>
# 访问 http://localhost:{port} 查看文档
```
pmbok-zhinan-diliuban-ketanglianxi-jiexi-fix1 2025.3.25.0
PMBOK 指南第六版课堂练习解析
Requires Python: >=3.6

# PMBOK 指南第六版课堂练习解析

## 下载

### Docker

```
docker pull apachecn0/pmbok-zhinan-diliuban-ketanglianxi-jiexi
docker run -tid -p <port>:80 apachecn0/pmbok-zhinan-diliuban-ketanglianxi-jiexi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pmbok-zhinan-diliuban-ketanglianxi-jiexi
pmbok-zhinan-diliuban-ketanglianxi-jiexi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pmbok-zhinan-diliuban-ketanglianxi-jiexi
pmbok-zhinan-diliuban-ketanglianxi-jiexi <port>
# 访问 http://localhost:{port} 查看文档
```
pingtou-gejiao-ni-yitian-shang-shou-lanya-mesh-yingyong-fangan-fix1 2025.3.25.0
平头哥教你一天上手蓝牙Mesh应用方案
Requires Python: >=3.6

# 平头哥教你一天上手蓝牙Mesh应用方案

## 下载

### Docker

```
docker pull apachecn0/pingtou-gejiao-ni-yitian-shang-shou-lanya-mesh-yingyong-fangan
docker run -tid -p <port>:80 apachecn0/pingtou-gejiao-ni-yitian-shang-shou-lanya-mesh-yingyong-fangan
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pingtou-gejiao-ni-yitian-shang-shou-lanya-mesh-yingyong-fangan
pingtou-gejiao-ni-yitian-shang-shou-lanya-mesh-yingyong-fangan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pingtou-gejiao-ni-yitian-shang-shou-lanya-mesh-yingyong-fangan
pingtou-gejiao-ni-yitian-shang-shou-lanya-mesh-yingyong-fangan <port>
# 访问 http://localhost:{port} 查看文档
```
retroPym 0.0.2
retroPy - a MicroPython retro game engine for the RP2350 micro-controller
Requires Python: >=3.6

# retroPy

A simple Python package for retroPy, a MicroPython retro game engine for the RP2350 micro-controller.
v0.0.1 = Placeholder for PYPI registration

Refer to homepage for Documentation for current alpha and beta releases.
pingtou-gejianchi-cdk-fix1 2025.3.25.0
平头哥剑池 CDK
Requires Python: >=3.6

# 平头哥剑池 CDK

## 下载

### Docker

```
docker pull apachecn0/pingtou-gejianchi-cdk
docker run -tid -p <port>:80 apachecn0/pingtou-gejianchi-cdk
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pingtou-gejianchi-cdk
pingtou-gejianchi-cdk <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pingtou-gejianchi-cdk
pingtou-gejianchi-cdk <port>
# 访问 http://localhost:{port} 查看文档
```
gfold 0.1.2
G-FOLD: Fuel Optimal Large Divert Guidance Algorithm
Requires Python: >=3.7

# G-FOLD Python Generator

This is the Python implementation of the G-FOLD algorithm with code generation capabilities. The problem is described using CVXPY/Python and C/C++ code is generated using CVXPYGen.

## Installation

### Option 1: Install from source

#### Prerequisites

You need to install [Rust](https://www.rust-lang.org/tools/install) and [Eigen](https://github.com/oxfordcontrol/Clarabel.cpp#installation) for the code generation feature.

Clone the repository:

```bash
git clone https://github.com/samutoljamo/g-fold.git
cd g-fold/generator
```

Install the package in development mode:

```bash
pip install -e .
```

On WSL, make sure you've installed Tkinter (version depends on the python version you're using):
```bash
sudo apt-get install python3.12-tk
```

### Option 2: Install from PyPI

```bash
pip install gfold
```

## Usage

### As a command-line tool

After installation, you can run G-FOLD from the command line:

```bash
# Solve the example problem with 100 steps and display graphs
gfold -n 100

# Generate C++ code
gfold -g -n 100 -o output_directory

# Save the plot to a file without displaying it
gfold -n 100 --save-plot --no-plot
```

### As a Python library

```python
from gfold import GFoldSolver
from gfold.visualization import plot_results

# Create a solver with 100 steps
solver = GFoldSolver()

# Solve the problem
solution = solver.solve(verbose=True)
print(f"Final mass: {solution['final_mass']:.2f} kg")

# Plot the results
plot_results(solution, save_path="gfold_plot.png")

# Generate C++ code
solver.generate_code(code_dir="generated_code")
```

### Example scripts

Check the `examples` directory for more usage examples:

- `simple_example.py`: Basic usage of the solver and visualization

## Development

To set up the development environment:

```bash
cd g-fold/generator
pip install -e .
```
oss-yunwei-jinjie-shizhan-shouce-fix1 2025.3.25.0
OSS运维进阶实战手册
Requires Python: >=3.6

# OSS运维进阶实战手册

## 下载

### Docker

```
docker pull apachecn0/oss-yunwei-jinjie-shizhan-shouce
docker run -tid -p <port>:80 apachecn0/oss-yunwei-jinjie-shizhan-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install oss-yunwei-jinjie-shizhan-shouce
oss-yunwei-jinjie-shizhan-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g oss-yunwei-jinjie-shizhan-shouce
oss-yunwei-jinjie-shizhan-shouce <port>
# 访问 http://localhost:{port} 查看文档
```