semvec/pypi-packages huggingface dataset:
ZabbixQywechat 1.1.1
This is a package for sending messages to enterprise WeChat applications in zabbix
Requires Python: >=2.6

This is a package for sending messages to enterprise WeChat applications in zabbix. You can use [Github](https://github.com/mikecui426/ZabbixQywechat)

### View at:

<code>
https://pypi.org/project/ZabbixQywechat/1.1.1/
</code>

### Python 2
<pre><code>
pip install ZabbixQywechat
</pre></code>

### Python 3
<pre><code>
pip3 install ZabbixQywechat
</pre></code>

### Demo test

vim test.py

<pre><code>
from ZabbixQywechat import Qywechat

import sys

Agentid="1000002"
Corpid="1111"
Corpsecret="2222"
PATH="/tmp/test.json"

if __name__ == '__main__':
    Touser=sys.argv[1]
    Subject=str(sys.argv[2])
    Content=str(sys.argv[3])
    Result=Qywechat(Agentid,Corpid,Corpsecret,PATH)
    Result.SendMSGtoWechat(Touser,Subject,Content)
</code></pre>

python test.py WechatAccount title content
pyARXaaS 0.5.7
ARXaaS Python wrapper package
Keywords: anonymization ARX ARXaaS ARX-as-a-Service

[![CircleCI](https://circleci.com/gh/navikt/PyARXaaS.svg?style=svg)](https://circleci.com/gh/navikt/PyARXaaS)
[![Maintainability](https://api.codeclimate.com/v1/badges/d4f7e73c09cb1affea99/maintainability)](https://codeclimate.com/github/navikt/PyARXaaS/maintainability)
[![Test Coverage](https://api.codeclimate.com/v1/badges/d4f7e73c09cb1affea99/test_coverage)](https://codeclimate.com/github/navikt/PyARXaaS/test_coverage)
[![Documentation Status](https://readthedocs.org/projects/pyarxaas/badge/?version=latest)](https://pyarxaas.readthedocs.io/en/latest/?badge=latest)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

# PyARXaaS

Python Package for interfacing with ARXaaS in Python

Read more about PyARXaaS at: https://pyarxaas.readthedocs.io/


## Getting Started

#### Installation

````bash
pip install pyarxaas

````

#### Basic Usage

````python

   # import dependencies
   from pyarxaas import ARXaaS
   from pyarxaas.privacy_models import KAnonymity
   from pyarxaas import AttributeType
   from pyarxaas import Dataset
   import pandas as pd

   arxaas = ARXaaS(url) # url contains url to AaaS web service

   df = pd.read_csv("data.csv")

   # create Dataset
   dataset = Dataset.from_pandas(df)


   # set attribute type
   dataset.set_attributes(AttributeType.QUASIIDENTIFYING, 'name', 'gender')
   dataset.set_attribute(AttributeType.IDENTIFYING, 'id')

   # get the risk profle of the dataset
   risk_profile = arxaas.risk_profile(dataset)

   # get risk metrics
   re_indentifiation_risk = risk_profile.re_identification_risk
   distribution_of_risk = risk_profile.distribution_of_risk
````
pydistinct 0.6.4
Package for estimating distinct values in a population
Keywords: distinct,value,estimators,sample,sequences

This package provides statistical estimators to predict a population's total number of distinct values from a sample sequence - given a sample sequence of n values with only d distinct values, predict the total number of distinct values D that exists in the population N.

Sample use cases :

estimating the number of unique insects in a population from a field sample
estimating the number of unique words in a document given a sentence or a paragraph
estimating the number of unique items in a database from a few sample rows
Please send all bugs reports/issues/queries to chanedwin91@gmail.com for fastest response!

See https://github.com/chanedwin/pydistinct for more information
kem4ksp 0.2.0
A package to manage your KSP Addons
Requires Python: >=3.6

<h1>KEM</h1>

Kem is a Python 3 based Programm to manage your Mods.
You can add and remove mods to your libary and install and uninstall them afterwards.

When you uninstall a mod it will only remove files which are only in the dependencys of this mod.
so you can easily uninstall mods without watching out for dependencies of other mods.

https://github.com/kontiko/Kerbal-Extension-Manager

Step by step tutorial:
1.  a) use "kme add \<modname> \<file1> \<file2>" with all files which are needed for this mod as argument*
    b) use "kme add \<modname>" without an argument to open the folder and drag all files in there*
    *if the mod depends on another mod put it also into there
2. use "kme install \<modname>" to install it

commands:  

add \<modname> \<file1> \<file2> ... -  adds mod with these files  
add \<modname> - adds mods and open modfolder in your Fileexplorer  
remove \<modname> - removes mod  
install \<modname>  
uninstall \<modname>  
list - list all added mods  
installed - list all installed mods