semvec/pypi-packages huggingface dataset:
pySulfiLoggerAPI 0.0.6
Driver module for the SulfiLogger sensor

# SulfiLogger sensor
Module for reading data from the SulfiLogger sensor

## python requirements
* Python 3.7 or newer

## python code example
### Data acquisition from sensor
```python
from pySulfiLoggerAPI.sensor import Sensor

# locate sensor
sensor = Sensor()
comport = sensor.findCom()

if(comport == None):
    print('info','no sensor found.')
else:
    # data acquisition
    sample = sensor.getData(comport)
    print(['signal', 'unit', 'temperature', 'unit'])
    print(sample)
```
### Data acquisition from webdata.sulfilogger.com
```python
from pySulfiLoggerAPI.webData import WebData

# login
webData = WebData(username ="username", password= "password")
webData.login()
# get sites
sites = webData.getAvailableSites()
print(sites)
# get data from time interval
data=webData.getDataFromPeriod(sites[0], '2019-09-25T00:00:00+02:00','2019-10-05T00:00:00+02:00', "mg/L", "1hr")
print(data)
```

## more examples
A python script for continuously logging and plotting data from the SulfiLogger sensor via the bokeh module is available upon request.
ImageConvertToText 0.3
A small example package
Requires Python: >=3.6

# Example Package

# Download Tesseract-OCR first.
Follow the link:

 #For WINDOWS:-
  https://github.com/UB-Mannheim/tesseract/wiki

#For macOS 
https://github.com/scott0123/Tesseract-macOS


#Set Environment variable to :-

Variable:-Tesseract-OCR

Path:- Path where Tesseract-OCR is installed like(C:\Program Files\Tesseract-OCR\tesseract.exe)


#type following code in python shell after installing library.
1st step :
 from   ImageConvertToText   import ImageTextConverter  

2nd step:
ImageTextConverter.img2txt('Path_of_your_Image_file')


In ('Path_of_your_Image_file') here write the path of image file that u want extract the text from.
for example 'ImageTextConverter.img2txt(r'C:\Users\Dell\Downloads\Images\PythonKnowledgeGraph.png')'like that only
dada-openapi-client 1.0.3
达达签名数据封装

# dada_openapi_client
达达开放平台的签名封装

## dada_client

### 支持的功能
1. 根据达达开放平台的签名规则进行签名  
[签名规则](https://newopen.imdada.cn/#/development/file/safety?_k=n7uzsr)

### 安装
```shell script
pip install dada_openapi_client
```

### 使用
```python
from dada_openapi_client.dada_client import DdMakeSign

body = {
    "source_id": "73753",
    "v": "1.0",
    "format": "json",
    "body": "{\"order_id\":\"111111111\"}",
    "timestamp": "1574927842"
}
d = DdMakeSign(appKey='dada11111111111', app_secret='111111111111111111111111')
print(d.make_sign(body=body))
```
GaTools 0.2.32
Quick python package for dealing with filenames and vtk meshes.

# Install
    python3 -m pip install --user GaTools

# Use MeshTools
    from GaTools import MeshTools
    meshFile = path_to_vtk_mesh

    mt = MeshTools(meshFile)
    print(mt)

    pos = mt.positions
    tetras = mt.tetras

    mt.pointData.resize(len(mt.positions))
    for i,p in enumerate(mt.positions):
        mt.pointData[i] = p[0]
    mt.writeVTK("new_mesh.vtk")


# Use Fast Marching Method
    from GaTools import SofaFMM
    fmm = SofaFMM()
    # print(fmm.defaultValues)

    ### Tetrahedral mesh
    meshFile = curDir+"/mesh/cube.vtk"
    mt = MeshTools(meshFile)

    my_parameters = {
        "RUNSOFA_PATH" : "path_to_sofa/bin/runSofa",
        "MESH" : meshFile,
        "BORDER" : "0",
        "EXPORT_AT_EACH_STEP" : False,
        "EXPORT_PATH" : outputDir+"/fmm.vtk"
    }

    fmm.setParams(my_parameters)
    fmm.run()

# Use FileTools
    from GaTools import Path
    rootDir = Path(path_to_dir)
    rootDir.listDir("*.txt")
    other_dir = rootDir.makeDir(other_directory)
    other_dir.clearDir("*.vtk")


# Use Graph scene display
    from GaTools import Graph
    print(Graph(python_sofa_scene_filename))
arango-query-engine 0.0.1
A python library for quering in ArangoDB
Requires Python: >=3.7

# python_arango_engine
this is a quering and creation engine for integration with arangodb databases

this use pyArango backend 
the target of writing this was using in django project

its syntax will be like the django quering API syntax like this :

    models.question.objects.get(name="hooman")


# installition

because of being small it is not installable but after a while i will add path to install it


# TODO

 [] complete the quering system for normal NoSQL

 [] complete the quering system for graph store DB

 [] add Inserting system for both normal and graph store systems

 [] add to django project