semvec/pypi-packages huggingface dataset:
amundsen-common-rudeserver 0.2.7
Common code library for Gusto Amundsen development
Requires Python: >=3.6

# Amundsen Common
[![PyPI version](https://badge.fury.io/py/amundsen-common.svg)](https://badge.fury.io/py/amundsen-common)
[![Build Status](https://api.travis-ci.org/lyft/amundsencommon.svg?branch=master)](https://travis-ci.org/lyft/amundsencommon)
[![Coverage Status](https://img.shields.io/codecov/c/github/lyft/amundsencommon/master.svg)](https://codecov.io/github/lyft/amundsencommon?branch=master)
[![License](http://img.shields.io/:license-Apache%202-blue.svg)](LICENSE)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)
[![Slack Status](https://img.shields.io/badge/slack-join_chat-white.svg?logo=slack&style=social)](https://amundsenworkspace.slack.com/join/shared_invite/enQtNTk2ODQ1NDU1NDI0LTc3MzQyZmM0ZGFjNzg5MzY1MzJlZTg4YjQ4YTU0ZmMxYWU2MmVlMzhhY2MzMTc1MDg0MzRjNTA4MzRkMGE0Nzk)

Amundsen Common library holds common codes among micro services in Amundsen.
For information about Amundsen and our other services, visit the [main repository](https://github.com/lyft/amundsen). Please also see our instructions for a [quick start](https://github.com/lyft/amundsen/blob/master/docs/installation.md#bootstrap-a-default-version-of-amundsen-using-docker) setup  of Amundsen with dummy data, and an [overview of the architecture](https://github.com/lyft/amundsen/blob/master/docs/architecture.md).

## Requirements
- Python >= 3.6

## Buildint Pypi Distro

 1. Update version in setup.py
 2. Grab account credentials for PyPi [https://pypi.org/](https://pypi.org/)
 3. Build and upload distro:

```
# clean
deactivate
rm -rf venv/
rm -rf dist/

# venv
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt 

# build / test
python3 setup.py install
python3 -bb -m pytest tests

# make dist
ls dist/
python3 setup.py sdist
ls dist/

# upload
pip install twine
twine upload dist/*
```
atd-socrata-util-dev 0.0.10
Utilities interacting with the Socrata Open Data API.

# atd-socrata-util (socratautil)
Python utilities for interacting with the Socrata Open Data API.

## Installation

Master branch:

```
pip install atd-socrata-util
```

Development branch:

```
pip install atd-socrata-util-dev
```

## License
As a work of the City of Austin, this project is in the public domain within the United States.

Additionally, we waive copyright and related rights of the work worldwide through the [CC0 1.0 Universal public domain dedication](https://creativecommons.org/publicdomain/zero/1.0/).
atd-data-util-dev 0.1.0
Miscellaneous utilities for manipulating data.

# atd-data-util (datautil)

## Installation

Master branch:

```
pip install atd-data-util
```

Development branch:

```
pip install atd-data-util-dev
```

## License

As a work of the City of Austin, this project is in the public domain within the United States.

Additionally, we waive copyright and related rights of the work worldwide through the [CC0 1.0 Universal public domain dedication](https://creativecommons.org/publicdomain/zero/1.0/).
octo-train 0.1.2
Console application to make you a great programmer.
Requires Python: >=3.7

# octo-train

[![Build Status](https://travis-ci.org/dankondr/octo-train.svg?branch=master)](https://travis-ci.org/dankondr/octo-train)
[![codecov](https://codecov.io/gh/dankondr/octo-train/branch/master/graph/badge.svg)](https://codecov.io/gh/dankondr/octo-train)

![octo-train](https://raw.githubusercontent.com/dankondr/octo-train/master/art/octo-train.gif)

> Simple CLI client for your programming accomplishments.

## About

This project provides you with comfortable interface for developing your programming skills with CodeForces and Project Euler ��

## Install

```bash
$ pip install octo-train
```

## Usage

```bash
$ octo-train
```

### Creating new user

On first launch application will ask you to provide some info.

#### Name

Just your name to get personalized experience. ☺️

#### CodeForces level

To start your CodeForces journey with octo-train you must specify level of problems you can solve.

You can either specify 0 and start from the easiest ones (you can change it in the settings later) or go to codeforces/archive and find appropriate level for you.


>⚠️ Problems level is the number specified on the right from problem's name. It starts at 500 and goes up to 3000 with step of 100.

![problems level](https://raw.githubusercontent.com/dankondr/octo-train/master/art/cf_problem_level.png)

#### CodeForces daily goal

The minimal number of problems you want to solve every day.

#### Project Euler level

With Project Euler you must specify level of problems you can solve too.

You can either specify 0 and start from the easiest ones (you can change it in the settings later) or go to projecteuler/archives and find appropriate level for you.


>⚠️ Problems level is the orange bar on the right from problem's name. Hover to see the number. It starts at 5% and goes up to 100%.

![problems level](https://raw.githubusercontent.com/dankondr/octo-train/master/art/pe_problem_level.png)

#### Project Euler daily goal

The minimal number of problems you want to solve every day.

### Get the problem

In menu select which kind of problems you want to solve.

![octo-train menu](https://raw.githubusercontent.com/dankondr/octo-train/master/art/octo-train-menu.gif)

### See the stats

Show your stats as a problem-solver.
UNIngPy 0.4.11
API para obtener articulos de la pagina oficial de la UNI Nicaragua
Keywords: UNI Nicaragua,uni.edu.ni,UNI API,UNI-RUACS,Uni ruacs,Articulos UNI

UNIngPy, un API sobre articulos de uni.edu.ni
====================================
[//]: # (badges)
[![Repo](https://img.shields.io/badge/repo-github-brightgreen)](https://github.com/MrH0wl/UNIngPy)
[![Version](https://img.shields.io/badge/version-0.4.10-brightgreen.svg)](https://github.com/MrH0wl/UNIngPy/releases)
[![PyPI](https://img.shields.io/pypi/v/UNIngPy)](https://pypi.org/project/UNIngPy/#history)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pipenv.svg)
![PyPI - Status](https://img.shields.io/pypi/status/Python)
[![PyPI - License](https://img.shields.io/cran/l/meta)](LICENSE)
![Tweet - Contact](https://img.shields.io/twitter/follow/SecMare?label=Contact&style=social)

## Descripcion

UNIngPy es un package de python que extrae los articulos oficiales de http://archivodenoticias.uni.edu.ni/Articulo/
Fue desarrollado con la intencion de ayudar a la facil extraccion de informacion de la pagina de la UNI-Nicaragua.


## Requisitos

- [Python](https://www.python.org/downloads/) =< 2.7 o 3.7: 
- [Beautifulsoup4](https://pypi.org/project/beautifulsoup4/) =< 4.9.0
- [Requests](https://pypi.org/project/requests/) =< 2.23.0

## Instalacion con Pip

```sh
pip install UNIngPy
```

## Uso

```python
>>>from UNIngPy import uniarticles

>>>arts = int(input('Cuantos articulos desea ver? '))

>>>if __name__ == "__main__":
...    res = uniarticles(True).search(arts)
...
...    for entry in res:
...        print((Fore.RED + "Titulo:" + Style.RESET_ALL + "{title}".format(**entry)))
...        print((Fore.RED + "Fecha de publicacion:" + Style.RESET_ALL + "{date}".format(**e...ntry)))...
...        print((Fore.RED + "Contenido:" + Style.RESET_ALL + "{preview}".format(**entry)))
...        print((Fore.RED + "Leer completo:" +Style.RESET_ALL+" {redirect}\n".format(**entry)))
```

```
Con el ejemplo anterior podrán obtener los detalles exactos de los articulos, para usarlos individualmente o en conjunto.
```

<hr/>

El [ejemplo](tools/gen_docs.py) lo pueden encontrar en la carpeta tests, por si desean ojearlo.

## Contribución

El desarrollo del proyecto se lleva a cabo en github, https://github.com/MrH0wl/UNIngPy,
abra un problema allí para informar errores o sugerir mejoras.La colaboración es muy bienvenida, solo `bifurca(fork)` el proyecto en github y envía `pull request` al repositorio principal.

## Licencia

`UNIngPy` se publica bajo la licencia GNU General Public License v3. Mira en [LICENCIA](LICENSE) para mas detalle.

## Desarrolladores

Autor:
------

�� **Jackson Blandon**


Lista de contribudores: https://github.com/MrH0wl/UNIngPy/graphs/contributors

## Soporte
Si crees que encontraste un bug o tienes problemas con la instalacion, abre un ticket en GitHub:
https://github.com/MrH0wl/UNIngPy/issues


<p align="center">&mdash; ❤️ &mdash;</p>
<p align="center"><i>Drylabs maintains dry-python and helps those who want to use it inside their organizations.</i></p>
<p align="center"><i>Read more at <a href="https://drylabs.io">drylabs.io</a></i></p>
mocos-helper 0.0.19
Helper code for MOCOS-COVID19/modelling-ncov2019
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4
Keywords: covid-19 modelling

# mocos_helper
Helper code for MOCOS-COVID19/modelling-ncov2019 repo
ssr-rts-api 0.0.10
Connect with ease to the public rts/ssr public API.
Requires Python: >=3.6
Keywords: ssr,rts,tsr,ssr rts api

# ssr_rts_api

Connect with ease to the rts/ssr channel public API.  
The package can only access the "RTS Archives v3" (broadcast) endpoint

Enjoy exploring RTS (radio télévision suisse romande) channel broadcast open data �� !

# Get it
```
$ pip install ssr_rts_api
```

# How it works

Connect to the RTS archives public api can be a little bit confusing. ssr_rts_api is aimed to resolve that issue.

Go to : https://developer.srgssr.ch/apis/rts-archives-v3  
Create your app  
Get your consumer key and consumer secret

**Remember, the package is only for accessing the "RTS Archives v3" (broadcast) API**

```python
from ssr_rts_api import Client as Cl
```

Pass an object with your credentials for generating a token and
instantiate a client access to the API  
- username = consumer key
- password = consumer secret

```python
obj = {"username": "your_consumer_key",
       "password": "yout_consumer_secret"}

cl = Cl.Client(obj)
```
Get your token through the Client.token parameter
```python
print(cl.token)
```
Pass an object with the desired request inside the Client.request() method
```python
querystring = {
    "query": "'id'='103'",
    "rows": 0,
    "start": 25, # be careful, RTS api returns no more than 25 documents per request
    "minPublicationDate": 1960,
    "maxPublicationDate": 2020,
    "sort": "publicationDate"
}

results = cl.request(querystring)
data = results.json()
```

Results can be a little bit "too" generous.
Refine the results with the Client.filter() method
```python
filtered = cl.filter_data(data, ['program', 'id'], 103)  # program id : 103 = Temps Présent
```
Use the to_pop argument to pop out fields of the data set.

```python
filtered = cl.filter_data(data, ['isOnline'], 'true', 'sequences')  # pop "sequence" field
```

Save the result with the Client.save() method.
Pass a data array and a mongodb collection in parameters
```python
res = cl.save_data(data, collection)
```
# Last note

Be kind, don't over request the server : use time.sleep()
```python
import time

time.sleep(3) #zzZZZ
```
# Credit

Renato Diaz (rerouj)
renatojour@gmail.com