semvec/pypi-packages huggingface dataset:
dengo-chemistry 0.1.0
A framework for creating chemical and radiative cooling reaction networks
Requires Python: >=3.6
Keywords: astronomy astrophysics chemistry

This is the Dengo package, designed to be a meta-solver for chemical reaction
networks and cooling processes.  The purpose of this is to provide a simple and
maintainable way of defining microphysical solvers for updating the chemical
and thermodynamic state of fluids in astrophysical simulations.  It has been
designed to output a C solver which can call external solver libraries, as well
as affiliated reaction rate tables.

A online version of the cookbook and documentation can be found here
https://hisunnytang.github.io/dengo-cookbook/landing.html

For more information, please contact the authors:
    Sunny Tang   (hisunnytang@gmail.com)
    Matthew Turk (matthew.turk@gmail.com)
    Devin Silvia (devin.silvia@gmail.com)
grasspy-xlwings 0.3.276
Chinsese version of xlwings for grasspy
Requires Python: >=3.10

# 格子 (xlwings)

#### 介绍
python xlwings 的草蟒中文版，提供强大易用的 Office 电子表格处理功能

#### 安装方法

`python -m pip install -U grasspy-xlwings`

#### 使用说明

```python
# 一个简单示例

导入 格子

>>> 工作簿 = 格子.〇工作簿()   # 创建一个新工作簿
>>> 工作表 = 工作簿.工作表々['Sheet1']   # 获取一个工作表对象

>>> 工作表.范围('A1').值 = '姓名'
>>> 工作表.范围('A1').值
'姓名'

>>> 工作表.范围('A1').值 = [['小美', '小刚', '小王'], [10.0, 20.0, 30.0]]
>>> 工作表.范围('A1').扩展().值
[['小美', '小刚', '小王'], [10.0, 20.0, 30.0]]
```
yinzirili-2022 2022.6.10.0
因子日历2022
Requires Python: >=3.6

# 因子日历2022

## 下载

### Docker

```
docker pull apachecn0/yinzirili-2022
docker run -tid -p <port>:80 apachecn0/yinzirili-2022
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yinzirili-2022
yinzirili-2022 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yinzirili-erlingerer
yinzirili-erlingerer <port>
# 访问 http://localhost:{port} 查看文档
```
msf 0.2.0
python easy microservices framework
Requires Python: >=3.6

# MSF
一个基于flask的微服务框架，方便简单的模型部署等。使得用户不需要关注于服务层面，专注在算法及业务逻辑中。

# 快速入门
## 安装
```
pip install msf
```
## 创建一个WSGI应用
```
from msf import Engine

path_conf = {}
engine = Engine(path_conf, name=__name__)
app = engine.app
```
或者你可以像flask一样使用它，来启动一个flask web服务器
```
from msf import Engine

path_conf = {}
engine = Engine(path_conf, name=__name__)
engine.run(host="0.0.0.0", port="41000")
```
## 添加一个路由
```
from msf import Engine

path_conf = {
    "hello_world":{
        "flow": ["hello_world_node"],
        "args: {
            "hello_world_node": {"text": "hello_world"}
        },
        "description": "describe what the route does"
    }
}
engine = Engine(path_conf, name=__name__)
engine.run(host="0.0.0.0", port="41000")
```
即可POST访问http://localhost:41000/hello_world  
  
path_conf中的key即为路由，flow中为node的有序排列，调用该路由会有序执行该node链表，args中的参数会在该路由中被传入对应函数，方便同一个函数在不同路由实现不同的逻辑
## 添加一个Node
添加路由前需要保证flow中的函数是存在并引用的（我们即将在接下来的一到两个版本推出显式自动加载的函数）  
```
from msf import node_register

@node_register()
def hello_world_node(**kwds):
    text = kwds.get("text")  # text来自于conf中args设置
    return text
```
## 在Node间传递中间结果
```
from msf import node_register, Engine

@node_register(name=hello_word_node)  # 可以通过name参数指定node的name，默认使用被装饰的函数名
def hello_world(**kwds):
    cxt = kwds.get("_context")
    text = cxt.get("text")  # text来自于conf中args设置
    return text

@node_register()
def load_text(**kwds):
    cxt = kwds.get("_context")
    text = kwds.get("text")
    cxt["text"] = text
    return

path_conf = {
    "hello_world":{
        "flow": ["load_text", "hello_world_node"],
        "args: {
            "load_text": {"text": "hello_world"}
        },
        "description": "describe what the route does"
    }
}
engine = Engine(path_conf, name=__name__)
app = engine.app
```
## 参数解析
框架内自带解析，以`_param`参数传递到函数，如果有重写解析的函数的需求，可以通过以下代码覆盖默认的解析方式（未来会优化默认的参数解析，并以更好的方式支持自定义解析）
```
from msf import Engine

def custom_parameter_parser(request):
    ...

path_conf = {}
engine = Engine(path_conf, name=__name__)
engine.param_parse = custom_parameter_parser
app = engine.app
```
ifood-kube-login 1.0.0
A sample Python project
Requires Python: >=3.7, <4
Keywords: sample,setuptools,development

# A sample Python project

![Python Logo](https://www.python.org/static/community_logos/python-logo.png "Sample inline image")

A sample project that exists as an aid to the [Python Packaging User
Guide][packaging guide]'s [Tutorial on Packaging and Distributing
Projects][distribution tutorial].

This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.

[The source for this project is available here][src].

Most of the configuration for a Python project is done in the `setup.py` file,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.

----

This is the README file for the project.

The file should use UTF-8 encoding and can be written using
[reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
use]. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.

Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.

[packaging guide]: https://packaging.python.org
[distribution tutorial]: https://packaging.python.org/tutorials/packaging-projects/
[src]: https://github.com/pypa/sampleproject
[rst]: http://docutils.sourceforge.net/rst.html
[md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
[md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional