semvec/pypi-packages huggingface dataset:
pipeforce-sdk-python 10.0.46
Python SDK for PIPEFORCE
Requires Python: >=3.9

# PIPEFORCE Python SDK

A library to simplify the communication with PIPEFORCE iPaaS from inside Python scripts.

For more information about PIPEFORCE see: https://pipeforce.org

For developer documentation of this SDK, see: https://pipeforce.org/sdk-python/index.html

This library can be used in FaaS / Lamda functions whereas Python is running as a Function inside PIPEFORCE,
in a microservice running inside PIPEFORCE or in a standalone Python application for example to connect
local services or OnPremise systems with PIPEFORCE.

## Prerequisites

- Python >= 3.9 is installed
- PIPEFORCE >= 9.0.0
cloudproof-anonymization 0.1.3
Cosmian Cloudproof Anonymization library
Requires Python: >=3.7

# Data Anonymization

`Data anonymization` is the process of transforming data in such a way that it can no longer be used to identify individuals without the use of additional information. This is often done to protect the privacy of individuals whose data is being collected or processed.

Anonymization techniques can include removing identifying information such as names and addresses, replacing identifying information with pseudonyms, and aggregating data so that individual data points cannot be distinguished. It's important to note that while anonymization can reduce the risk of re-identification, it is not foolproof and must be used in conjunction with other security measures to fully protect personal data.

## Features

Cosmian anonymization provides multiple methods:

- **Hashing**: transforms data into a fixed-length representation that is difficult to reverse and provides a high level of anonymity. Use `anonymization::Hasher` to apply the various hash functions.

- **Noise Addition**: adds random noise to data in order to preserve privacy. Use `anonymization::NoiseGenerator` to apply various types of noise distributions to `float`, `integer`, and `date`.

- **Word Masking**: hides sensitive words in a text. Use `anonymization::WordMasker` to mask a list of words.

- **Word Tokenization**: removes sensitive words from text by replacing them with tokens. Use `anonymization::WordTokenizer` to replace a list of words.

- **Word Pattern Masking**: replaces a sensitive pattern in text with specific characters or strings. Use `anonymization::WordPatternMasker` to replace specified pattern regex with a replacement string.

- **Number Aggregation**: rounds numbers to a desired power of ten. This method is used to reduce the granularity of data and prevent re-identification of individuals. Use `anonymization::NumberAggregator` to round `float` and `int` values.

- **Date Aggregation**: rounds dates based on the specified time unit. This helps to preserve the general time frame of the original data while removing specific details that could potentially identify individuals. Use `anonymization::DateAggregator` to round `date`.

- **Number Scaling**: scales numerical data by a specified factor. This can be useful for anonymizing data while preserving its relative proportions. Use `anonymization::NumberScaler` to round `float` and `int` values.

## Date Format

***WARNING***: The anonymization functions date input is in RFC3339 string format which is slightly different from ISO format.

| ISO format                | RFC 3339                  |
|---------------------------|---------------------------|
| 2023-04-07T12:34:56       | 2023-04-07T12:34:56**Z**  |
| 2023-04-27T16:23:00+00:00 | 2023-04-27T16:23:00+00:00 |
| 2023-04-27T16:23:00+05:00 | 2023-04-27T16:23:00+05:00 |
| 2023-04-27T16:23:00-05:00 | 2023-04-27T16:23:00-05:00 |
zoviz 0.4.292
Unaffiliated visualization helper for Zotero data
Requires Python: >=3.5

Zoviz is an unaffiliated library for accessing and visualizing Zotero data. 

Gitlab project: https://gitlab.com/jlogan03/zoviz (includes example.ipynb notebook)

RTFM: https://zoviz.readthedocs.io/en/latest/index.html

Example application: visualizing the graph of collaboration between creators

![creator graph]( ./ci/docs/source/community_graph.png "Community graph" )
lightCV 0.0.1
A small tool package
Requires Python: >=3.7

# cv工具包
## 

# 代码说明

1. labels_tool:
    - auto_label.py 自动打标工具，目前仅支持yolov5/yolov8
    - py_tools.py 常用的脚本，如修改label编号，xml2txt等等
    - todo ......
2. infer:
    - 主要的推理工具，包括openvino，trt等
    - todo ......
3. models:
    - 常用模型以及对模型的改进
    - todo ......

## 

# 使用方案

1. pip install lightCV


 ## 
 
 # 博客地址
https://github.com/1402091247/pytools

Please drop your suggestions on 1402091247@qq.com
SpotifyLinuxOpen 0.1.0
A simple cli-utility that allows you to open 'open.spotify.com' in the Spotify desktop client on Linux

# SpotifyLinuxOpen

#### A simple cli-utility that allows you to open "open.spotify.com" in the Spotify desktop client on Linux

## Usage:
**Link:** `https://open.spotify.com/<type>/<id>`
```shell
slopen https://open.spotify.com/track/4PTG3Z6ehGkBFwjybzWkR8?si=a4ec356b33fd49d3
```

## Install:

| **reqs:**  |
| - |
| spotify |
| python |
| python-pip |
| dbus |

**From [git.orudo.ru](https://git.orudo.ru/trueold89/SpotifyLinuxOpen/releases):**
```shell
pip install https://git.orudo.ru/trueold89/SpotifyLinuxOpen/releases/download/v0.1/SpotifyLinuxOpen-0.1.tar.gz
```
**From pypi:**
```shell
pip install SpotifyLinuxOpen
```


## Build:

**Build python pkg**
```shell
pip install setuptools && python setup.py
```
**Install**
```shell
pip install dist/*
```