semvec/pypi-packages huggingface dataset:
vectormpp 0.2.6
Actian VectorMPP Installer
Requires Python: >=3.6

# Actian VectorMPP Installer

Actian VectorMPP represents a sophisticated deployment of Actian’s Multi-node Vector Cluster within a Kubernetes environment. \
This deployment encompasses an extensive array of Kubernetes resources, accompanied by intricate configuration settings.

To facilitate a streamlined installation process, we have developed the Actian VectorMPP Installer. \
The installer is distributed as a Python package, officially registered within the Python Package Index (PyPi).

The installation process of the Actian VectorMPP Installer is straightforward:
```
pip install vectormpp
```

For assistance and command options, use: `vectormpp -h` \
This command provides usage instructions and a list of available options, including but not limited to specifying work directories, setting log levels, and executing install or uninstall commands.

## The design behind the installer

The Actian VectorMPP Installer offers a range of functionalities designed to accommodate diverse customer needs, including those with varying Kubernetes cluster configurations and pre-existing Kubernetes resources.

Central to this customization capability is [Actian VectorMPP Manifest](https://alm.actian.com/bitbucket/users/rxiao/repos/vectormpp-manifest/) — a collection of text files outlining the architecture of Actian VectorMPP. \
The `vectormpp` installer, leveraging *Manifest*, acts as a versatile tool capable of applying these Kubernetes resources and configurations to customers' Kubernetes clusters. \
This approach enables potential use cases beyond Actian VectorMPP, applicable to any Kubernetes project with *Manifest* describing its architecture.

## Examples

### Deploy Actian VectorMPP in a clean GKE cluster
Get the corresponding Manifest _clean-gke_ from our .
Clone [Actian VectorMPP Manifest repo](https://alm.actian.com/bitbucket/users/rxiao/repos/vectormpp-manifest/) to obtain the appropriate manifest file for a clean GKE cluster:
```
git clone https://alm.actian.com/bitbucket/scm/~rxiao/vectormpp-manifest.git
```

Customize your Actian VectorMPP installation by modifying the config.yaml file within the cloned repository:
```
vim vectormpp-manifest/clean-gke/config.yaml
```

Execute the installer using one of the following methods, specifying the path to your Manifest folder:
```
vectormpp --manifest vectormpp-manifest/clean-gke --install
vectormpp -m vectormpp-manifest/clean-gke -i
```
Or navigate to the Manifest directory and run:
```
cd vectormpp-manifest/clean-gke && vectormpp -i
```
hikapi 0.0.2
海康的python库
Requires Python: >=3.5

根据 海康 的综合安防管理平台写的python库

https://open.hikvision.com/docs/docId?productId=5c67f1e2f05948198c909700&version=%2Ff95e951cefc54578b523d1738f65f0a1&tagPath=%E7%BC%96%E7%A8%8B%E5%BC%95%E5%AF%BC-%E4%B8%80%E5%8D%A1%E9%80%9A%E5%BA%94%E7%94%A8%E6%9C%8D%E5%8A%A1
excel-anonymizer 1.1.8
Anonymizes an Excel file and synthesizes new data in its place

# Excel Anonymizer
 A Python script that anonymizes an Excel file and synthesizes new data in its place.

![Excel_Anonymized_Demo](https://github.com/Welding-Torch/Anonymize_Excel/assets/46340124/78b03e03-bad0-4cb0-9b84-46e3197e9344)
_Convert your sheets with sensitive data into anonymized data._

## What is Excel Anonymizer
Excel Anonymizer is a python script that helps to ensure sensitive data is properly managed and governed. It provides fast identification and anonymization for private entities in text such as credit card numbers, names, locations, phone numbers, email address, date/time, with more entities to come.  

## Use case
Data anonymization is crucial because it helps protect privacy and maintain confidentiality. If data is not anonymized, sensitive information such as names, addresses, contact numbers, or other identifiers linked to specific individuals could potentially be learned and misused. Hence, by obscuring or removing this personally identifiable information (PII), data can be used freely without compromising individuals’ privacy rights or breaching data protection laws and regulations.  

## Overview
Anonymization consists of two steps:  
1. Identification: Identify all data fields that contain personally identifiable information (PII).  
2. Replacement: Replace all PIIs with pseudo values that do not reveal any personal information about the individual but can be used for reference.  

Excel Anonymizer uses Microsoft Presidio together with Faker framework for anonymization purposes.

## Quickstart
1. Install the requirements
   ```
   pip install presidio_analyzer
   pip install presidio_anonymizer
   python -m spacy download en_core_web_lg
   ```
2. Install the package
   ```
   pip install excel-anonymizer
   ```
> Note: Spacy will install a Natural Language Processing package on the first run (587.7MB).

3. Run the demo
   ```
   excel-anonymizer ../../personal_information.xlsx
   ```

That's it! 

## Usage
To use Excel Anonymizer with your Excel file, simply input the file.
```
excel-anonymizer your_excel_file_here.xlsx
```

## Author
Siddharth Bhatia  
License: [MIT License](https://github.com/Welding-Torch/Anonymize_Excel/blob/main/LICENSE)
show-weather 0.2.0
Tells you the weather of any city/town anywhere in the world over the command line
Requires Python: >=3.8


A small Python script that can tell you the weather of any city/town anywhere in the world over the command line.

Weather data is accessed over the internet using the *OpenWeather* API. You'll need an API key, which you can get by simply [sigining up](https://openweathermap.org/ "Link to website") to their website, signing in, and then going to "My API keys" under your profile.

The program has a proper command line interface with optional flags, help messages and so forth. Run `show_weather --help` to see more.

## Install

```
% pip install show-weather
```

## Example

To get the current weather in Toronto, for example, run

```
% show_weather <API_KEY> toronto
```

which outputs to the terminal

```
--------------------------------------------------

      Place:    Toronto
    Country:    Canada
Temperature:    -10.6°C

--------------------------------------------------
```