semvec/pypi-packages huggingface dataset:
selenium-processor 0.0.3
A simple library to set up Selenium processes
Requires Python: >=3.6

# selenium-processor

A simple library to set up Selenium processes

### Description ###

This library allows you to easily set up a process based on [Selenium](https://www.selenium.dev).
Thanks to the use of a specific format, it is possible to easily define processes to be passed to [Selenium](https://www.selenium.dev).

### Installation ###

```
pip install selenium-processor
```

### Usage ###

TODO

#### Available methods ####

TODO

#### Objects structure ####

TODO

### TODO ###

* Improve code readability
* Extend supported objects structure

### Contacts ###

You can find me on [Twitter](https://twitter.com) as [@auino](https://twitter.com/auino).
ts2g 0.0.3
Converting time-series to graph using three different method which are natural visibility graph, horizontal visibility graph, and quantile graph
Requires Python: >=3.6

# ts2g (time series to graph)
This a package for converting timeseries to graph using three different method which are natural visibility graph, horizontal visibility graph and quantile graph
this three methods are come from the following articels:

Lacasa, Lucas, Bartolo Luque, Fernando Ballesteros, Jordi Luque, and Juan Carlos Nuño. 2008. “From Time Series to Complex Networks: The Visibility Graph.” Proceedings of the National Academy of Sciences of the United States of America 105 (13): 4972–75.

Luque, B., Lacasa, L., Ballesteros, F. and Luque, J., 2009. Horizontal visibility graphs: Exact results for random time series. Physical Review E, 80(4).

Campanharo, A., Sirer, M., Malmgren, R., Ramos, F. and Amaral, L., 2011. Duality between Time Series and Networks. PLoS ONE, 6(8), p.e23378.

# Dependencies:

openpyxl

# How to install package:

1. install python > 3.6 [how to install?](https://www.python.org/downloads/)
2. install pip [how to install?](https://pip.pypa.io/en/stable/installation/)
3. open terminal (linux or mac) or command prompt (windows):

to open terminal if you are using mac:
    1. Press Command + Space Bar on your Mac Keyboard.
    2. Type in “Terminal”
    3. When you see Terminal in the Spotlight search list, click it to open the app.

to open command prompt if you are using windows:
    1. right-click the Windows icon in the bottom-left corner of your screen.
    2. click on powershell(admin) or command prompt(admin)

4. and then enter this command
```sh
pip install openpyxl && pip install ts2g
```

and hit enter!
done.

# How to import:

```sh
import ts2g
```


# How to use:

```python
#import your data! data should be .csv or .xlsx file 
#for example:
data = ts2g.importData("data.csv") # this function will return a matrix of data
#replace you data file with data.csv

#then calculate the data:

#for vertical visibility graph, example:
result = ts2g.vg(data) # this function will return a matrix of results

#for horisantal visibility graph, example:
result = ts2g.hg(data) # this function will return a matrix of results

#for quantile graph, example:
q = 10
result = ts2g.qg(data, q) # this function will return a matrix of results


#then save result!

ts2g.save(result, "name") #this funtion will save results in .txt files!
```


# How saved files are look like:

### if result is for vg, saved files will be:
1. name_A_vg.txt
2. name_graph_indicator_vg.txt
3. name_node_labels_vg.txt

### if result is for hg, saved files will be:
1. name_A_hg.txt
2. name_graph_indicator_hg.txt
3. name_node_labels_hg.txt

### if result is for qg, saved files will be:
1. name_A_qg_q=10.txt
2. name_graph_indicator_qg_q=10.txt
3. name_node_labels_qg_q=10.txt
4. name_edge_labels_qg_q=10.txt

# note:
We strongly suggest using .csv, don't use .xlsx for big files!
tencent-iot-device 1.0.0
Tencent IoT Explorer SDK for Python

# 产品介绍

本仓库中包含两个产品：腾讯云物联网通信（IoT Hub） 和 腾讯云物联网开发平台（IoT Explorer） ，本仓库提供 Python 接入方式 。

## 腾讯云物联网通信（IoT Hub）Python SDK

腾讯云物联网通信（Internet of Things Hub， IoT Hub）旨在提供一个安全、稳定、高效的连接平台，帮助开发者低成本、快速地实现“设备-设备”、“设备-用户应用”、“设备-云服务”之间可靠、高并发的数据通信。不仅可以实现设备之间的互动、设备的数据上报和配置下发，还可以基于规则引擎打通设备与腾讯云产品间的通路，方便快捷地实现海量设备数据的存储、计算以及智能分析。详细介绍请参考官网 [物联网通信](https://cloud.tencent.com/document/product/634) 。

该仓库提供了 IoT Hub 设备端SDK，设备厂商可以通过 SDK 集成到 Python 环境设备上，将设备安全的接入到腾讯云物联网通信平台。

* [腾讯云物联网通信（IoT Hub）设备端 Python-SDK](hub/)


## 腾讯云物联网开发平台（IoT Explorer）Python SDK

腾讯云物联网开发平台（Internet of Things Explorer， IoT Explorer）为各行业的设备制造商、方案商及应用开发商提供一站式设备智能化服务。平台提供海量设备连接与管理能力及小程序应用开发能力，并打通腾讯云基础产品及 AI 能力，提升传统行业设备智能化的效率，降低用户的开发运维成本，助力用户业务发展。详细介绍请参考官网 [物联网开发平台](https://cloud.tencent.com/document/product/1081) 。

该仓库提供了 IoT Explorer 设备端SDK，用户可以通过SDK，由 python 语言开发设备接入驱动，或者集成到 python 环境设备上，将设备安全的接入到腾讯云物联网开发平台。

* [腾讯云物联网开发平台（IoT Explorer）设备端 Python-SDK](explorer/)


## SDK涉及到的域名

两个产品对应SDK涉及到的域名请参考 [Device SDK涉及的域名](https://github.com/tencentyun/iot-device-java/wiki/Device-SDK涉及的域名)