semvec/pypi-packages huggingface dataset:
turbosmsua-python3 0.4.1
Client for https://turbosms.ua
Keywords: turbosmsua,turbosms,sms ua

Реализация SOAP сервиса для отправки смс через сервис turbosms.ua Python3+
==========

Для установки пакета выполните:
```sh
$ pip install turbosmsua-python3
```

Все. Теперь в системе доступен пакет turbosmsua.

```python
import turbosmsua

# Создадим инстанс
# Если неверный логин/пароль или что-то еще будет выброшен ValueError с описанием ошибки от сервиса
t = turbosmsua.Turbosms(login, password)

# Получение баланса. Float или ValueError
t.balance()

# Отправка смс.
# Первый параметр - отправитель
# Второй параметр - список получателей
# Третий параметр - текст
# Четвертый параметр - wappush - url. Оно как-то странно работает и смс с ним на айфон не доходят
#
# В ответ dict. С ключем status - это статус отправок по русски как отдал сервис,
# все остальные ключи - это номер телефона и статус ответа по ним.
send_statuses = t.send_text("sended",
                            [960000000, 80960000000, 380960000000, "960000000", "+380960000000"],
                            "Это текст сообщения")

# Получение статуса отправки по id сообщения. В ответ не обработанный ответ от сервиса
print t.message_status("123123-3123123-1231ad-sd")

```
mspelling 0.2.2
Measure of Spanish spelling skills
Requires Python: >=3.7.1,<3.11
Keywords: mspelling

# mSpelling

[![PyPI - Version](https://img.shields.io/pypi/v/mspelling.svg)](https://pypi.python.org/pypi/mspelling)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mspelling.svg)](https://pypi.python.org/pypi/mspelling)
![GitHub](https://img.shields.io/github/license/mario-bermonti/mspelling)
[![Tests](https://github.com/mario-bermonti/mspelling/workflows/tests/badge.svg)](https://github.com/mario-bermonti/mspelling/actions?workflow=tests)
[![Codecov](https://codecov.io/gh/mario-bermonti/mspelling/branch/master/graph/badge.svg?token=YOURTOKEN)](https://codecov.io/gh/mario-bermonti/mspelling)
[![Read the Docs](https://readthedocs.org/projects/mspelling/badge/)](https://mspelling.readthedocs.io/)
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)

Measure of Spanish spelling skills

* GitHub repo: <https://github.com/mario-bermonti/mspelling.git>
* Documentation: <https://mspelling.readthedocs.io/>
* Free software: GNU General Public License v3

## Features
- Developed specifically for research on spelling skills
- Easy to administer
- Flexible and easy to extend
- Supports multiple platforms: MacOS, Windows, Linux
- Results are saved to a CSV file

## Description

![demo](./mspelling_gif.gif)

Words are presented by the computer one at a time and the participant types the word
using the keyboard. Participants have a rest period after every 5 trials.

At the end of the session, mspelling saves the results to a CSV file, which is supported
by most popular spreadsheet software these days (e.g., Excel).

mSpelling is developed using the Python programming language v3.

## Getting Started
Please see [mSpelling documentation][project_docs] for details about how to install and use mSpelling.

## Contributing to this project
  All contributions are welcome!

  Will find a detailed description of all the ways you can contribute to mspelling in
  [the contributing guide][contributing_guide].

  This is a beginner-friendly project so don't hesitate to ask any questions or get in touch
  with the project's maintainers.

  Please review the [project's code of conduct][code_conduct] before making
  any contributions.

## Author
This project was developed by Mario E. Bermonti-Pérez as part of
his academic research. Feel free to contact me at [mbermonti@psm.edu](mailto:mbermonti@psm.edu) or
[mbermonti1132@gmail.com](mailto:mbermonti1132@gmail.com)

## Credits

This package was created with [Cookiecutter][cookiecutter] and the [mario-bermonti/cookiecutter-modern-pypackage][cookiecutter-modern-pypackage] project template.

[cookiecutter]: https://github.com/cookiecutter/cookiecutter
[cookiecutter-modern-pypackage]: https://github.com/mario-bermonti/cookiecutter-modern-pypackage
[project_docs]: https://mspelling.readthedocs.io/
[code_conduct]: ./CODE_OF_CONDUCT.md
[contributing_guide]: ./contributing.md
kafkaescli 0.1.11
A magical kafka command line interface.
Requires Python: >=3.9,<4.0

﻿
![Kafkaescli](docs/images/kafkaescli-repository-open-graph-template.png)
[![Coverage Status](https://coveralls.io/repos/github/jonykalavera/kafkaescli/badge.svg?branch=main)](https://coveralls.io/github/jonykalavera/kafkaescli?branch=main)
[![CircleCI](https://circleci.com/gh/jonykalavera/kafkaescli/tree/main.svg?style=svg)](https://circleci.com/gh/jonykalavera/kafkaescli/tree/main) [![Join the chat at https://gitter.im/jonykalavera/kafkaescli](https://badges.gitter.im/jonykalavera/kafkaescli.svg)](https://gitter.im/jonykalavera/kafkaescli?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

# Install

Install from [pypi](https://pypi.org/project/kafkaescli/)

```sh
pip install kafkaescli
```

# Usage

```bash
# consume from `hello`
kafkaescli consume hello
# consume from `hello` showing metadata
kafkaescli consume hello --metadata
# produce topic `hello`
kafkaescli produce hello world
# produce longer strings
kafkaescli produce hello "world of kafka"
# produce from stdin a value per line
cat values.json | kafkaescli produce hello --stdin
# produce to topic `world` form the output of a consumer of topic `hello`
kafkaescli consume hello | kafkaescli produce world --stdin
# produce `{"foo":"bar"}` to topic `hello`, with middleware
kafkaescli produce hello '{"foo":"bar"}' --middleware '{"hook_before_produce": "examples.json.hook_before_produce"}'
# consume from topic `hello` with middleware
kafkaescli consume hello --middleware '{"hook_after_consume": "examples.json.hook_after_consume"}'
# run the web api http://localhost:8000/docs
kafkaescli runserver
# POST consumed values to WEBHOOK
kafkaescli consume hello --metadata --webhook https://myendpoint.example.com
# For more details see
kafkaescli --help
```
These examples assume a Kafka instance is running at `localhost:9092`

# Contributions

* [Jony Kalavera](https://github.com/jonykalavera)

Pull-requests are welcome and will be processed on a best-effort basis.
Follow the [contributing guide](CONTRIBUTING.md).