semvec/pypi-packages huggingface dataset:
restify-ENGYAK 0.2.11
Abstractions should save typing, not thinking! This project will provide a quick and simple CLI for REST API consumption. Build your own library of known API endpoints/modifiers, and consume directly via the CLI.
Requires Python: >=3.6

# Python REST Tool

## Synopsis

Provide a python tool to quickly invoke REST calls with a pre-defined list of settings, plays.

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

## How to use this tool

Download the package:

```bash
python3 -m pip install restify-ENGYAK
```

Set Environment Variables. `APIUSER` and `APIPASS` are mandatory.

```bash
export APIUSER=username
export APIPASS=password
export APIENDPOINT={{ API Full URL }}
```

Invoke via the CLI:

```bash
python3 -m restify -f settings.json list_plays
```

To build a new settings file:

```bash
python3 -m restify create_settings > settings.json
```

To list plays provided by a settings file:

```bash
python3 -m restify -f settings.json list_plays
```

## API Invocation

Once the package is installed, the `namshub()` API can be used by:

```python
# Import Restify Library
from restify.RuminatingCogitation import Settings
from restify.RuminatingCogitation import Reliquary
# Set the interface - apply from variables no matter what
cogitation_interface = Reliquary(args.f, input_user=api_user, input_pass=api_pass)
# Exposed variables: def namshub(self, namshub_string, namshub_variables=False, namshub_dryrun=False):
cogitation_interface.namshub({{ }}, namshub_variables={{ }})
```

And then process data from there.
`namshub` currently exports text from the API, and may support a `dict` in the future.

## Notes

## Authors

* *Nick Schmidt*
aws-recommendation-a7 0.0.19
Provides AWS recommendations
Requires Python: >=3.7

# aws_recommendations

aws_recommendations package gives recommendation for you aws account

Release Notes:
# v0.0.10
1. Added methods for following recommendations:
   - Low Utilization Amazon EC2 Instances
   - Underutilized Amazon Redshift Clusters
   - idle ebs volumes
   - Idle elb
   - enable s3 bucket keys
   - rds_general_purpose_ssd
   - ebs_general_purpose_ssd
   - unused_ami

# v0.0.7
1. Added methods for new recommendations
2. Added following methods:
   1. reserved_instance_lease_expiration()
   2. unassociated_elastic_ip_addresses()
   3. rds_idle_db_instances()

# v0.0.3
1. Minor bug fixes

# v0.0.2
1. Improved code quality
2. Multi region now supported

# v0.0.1 - Initial Release
fmm3dpy 1.0.0
This pacakge contains basic routines for Laplace, Helmholtz, Stokes and Maxwell fast multipole methods in three dimensions
Requires Python: >=3.0.0

# Flatiron Institute Fast Multipole Libraries
[![Actions status](https://github.com/flatironinstitute/FMM3D/workflows/Python%20Build/badge.svg)](https://github.com/flatironinstitute/FMM3D/actions)

This codebase is a set of libraries to compute N-body interactions
governed by the Laplace and Helmholtz equations, to a specified
precision, in three dimensions, on a multi-core shared-memory machine.

Please see the [online documentation](https://fmm3d.readthedocs.io),
or its equivalent [user manual](fmm3d_manual.pdf).
Python-Package-tutorial 1.0.1
A simple Python package
Requires Python: >=3.6

# `basicpkg`

The `Python_Package_tutorial` is a simple testing example to understand the basics of developing your first Python package. 
MIT License

Copyright (c) 2023 Vikash Kumar Barnwal

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
pyutplugincore 0.6.5
Pyut Plugins

<img src="./developer/agpl-license-web-badge-version-2-256x48.png"/>

[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity)
[![Build Status](https://app.travis-ci.com/hasii2011/pyutplugincore.svg?branch=master)](https://app.travis-ci.com/hasii2011/pyutplugincore)
[![CircleCI](https://dl.circleci.com/status-badge/img/gh/hasii2011/pyutplugincore/tree/master.svg?style=shield)](https://dl.circleci.com/status-badge/redirect/gh/hasii2011/pyutplugincore/tree/master)

[![CircleCI](https://dl.circleci.com/insights-snapshot/gh/hasii2011/pyutplugincore/master/main/badge.svg?window=30d)](https://app.circleci.com/insights/github/hasii2011/pyutplugincore/workflows/main/overview?branch=master&reporting-window=last-30-days&insights-snapshot=true)
[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)


# Introduction
**TBD**

# Overview

**TBD**

------


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