semvec/pypi-packages huggingface dataset:
ADS1219-lib 0.0.2
Lib to use ADS1219 with Python on Raspberry

# ADS1219_lib

ADS1219_lib is a Python library to use a ADS1219 with a Raspberry Pi. 
Development funded by [INRAE](https://www.inrae.fr/) (REVERSAAL research unit, Villeurbanne, France)

Github of the project : https://github.com/mickaelv/ADS1219-Python

## Installation

You can use this command to install ADS1219_lib easily :

```bash
git clone https://github.com/mickaelv/ADS1219-Python && cd ADS1219-Python && python3 setup.py install
```

Soon on pip Use the package manager [pip](https://pip.pypa.io/en/stable/) to install ADS1219_lib :
```bash
pip install ADS1219_lib 
```

## Usage
```python
from ADS1219_lib import ADS1219
#
#Create a new object with interupt pin on GPIO 4
ads =  ADS1219( 1, 0x40, 4 )
#
#Set an external voltage reference of 2V
ads.setExternalReference( 2 )
#
#Define the gain to 4
ads.setGain( 4 )
#
#read inputs :
print( ads.convertToV( ads.readSingleEnded( 0 ) ) )
print( ads.convertToV( ads.readSingleEnded( 1 ) ) )
print( ads.convertToV( ads.readSingleEnded( 2 ) ) )
print( ads.convertToV( ads.readSingleEnded( 3 ) ) )
#
#
#Print the value of voltage between input 0 and 1
print( ads.convertToV( ads.readDifferential_0_1() ) )
#
#Print the value of voltage between input 2 and 3
print( ads.convertToV( ads.readDifferential_2_3() ) )
#
#Print the value of voltage between input 1 and 2
print( ads.convertToV( ads.readDifferential_1_2() ) )
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)
CMSEIRD 2.0.1
Infectious disease prediction model CM-SEIRD

This work is designed by SH and XHN, our project named CM-SEIRD.
Flow me start your project:
1:please install package you need
    pip install numpy
    pip install matplotlib
    pip install numpy
    pip install CMSEIRD
2:Please entry "from CM_SEIRD import model" start your work;
3:Help functiom "model.help()";
4:Run "model.paramenter()" change your paramenter;
5:Run model.cmseird() begin your prediction

IF you have any question :
Email:adairmillersh@gmail.com
Git:https://github.com/fahaihi
mnx 0.0.1
A sample Python project
Requires Python: >=3.5, <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
CM-SEIRD 0.0.1
Infectious disease prediction model CM-SEIRD

This work is designed by SH and XHN, our project named CM-SEIRD.
Flow me start your project:
1:please install package you need
    pip install numpy
    pip install matplotlib
    pip install numpy
    pip install CMSEIRD
2:Please entry "from CM_SEIRD import model" start your work;
3:Help functiom "model.help()";
4:Run "model.paramenter()" change your paramenter;
5:Run CM_SEIRD() begin your prediction

IF you have any question :
Email:adairmillersh@gmail.com
Git:https://github.com/fahaihi
pifetcher 0.0.3.8
A scalable headless data fetching library written with python and message queue service to enable quickly and easily prasing web data in a distributive way.

# pifetcher
A scalable headless data fetching library written with python and message queue service to enable quickly and easily parsing web data in a distributive way.

## To install
```bash
pip install pifetcher
```

## PYPI Link  [https://pypi.org/project/pifetcher/]

## dependencies:
- pyppeteer
- BeautifulSoup4
- boto3

## features:

- event-callback-based interaction between user defined logic and the pre-disigned fetch worker
- process works in batches, library user will be able to capture the event of a batch of works have been finished
- easy to use, only needs to inherit the FetchWorker class and implement the basic call back functions
- it's design to use message queue, enbles more than just one worker to perform data fetching in order to scale the application 

## how to use:

Github: [https://github.com/gavinz0228/pifetcher]