semvec/pypi-packages huggingface dataset:
hamsclient 0.2.3
Library to get data from meteo swiss
License: MIT

meteoswiss
==========

.. image:: https://img.shields.io/pypi/v/meteoswiss.svg
    :target: https://pypi.python.org/pypi/meteoswiss
    :alt: Latest PyPI version

.. image:: https://github.com/websylv/meteoswiss.png
   :target: https://github.com/websylv/meteoswiss
   :alt: Latest Travis CI build status

Library to get data from meteo swiss
NOT ready for production ! for the moment it's just a draft to do some tests

Usage
-----

Installation
------------

Requirements
^^^^^^^^^^^^
    requests>=2.22.0
    pandas>=0.25.3
    beautifulsoup4>=4.8.2

    May probably work with older versions but not tested

Compatibility
-------------

Licence
-------

Authors
-------

`meteoswiss` was written by `websylv <div@webhu.org>`_.
djnotifier 1.1.0
A web-based Django app to conduct real time notification.
License: MIT
Requires Python: >=3.6

# djnotifier
**`djnotifier`** is a Django app to conduct web-based real time notification. Almost fully customizable app + plugin. Explore [full documentation here](https://github.com/rk4bir/djnotifier/tree/master/docs). Check [quick start guide here](https://github.com/rk4bir/djnotifier/blob/master/docs/QUICK_START.md).

## Demo
> Check [usage page](https://github.com/rk4bir/djnotifier/blob/master/docs/USAGE_EXAMPLE.md) for more information.

![UI](https://raw.githubusercontent.com/rk4bir/djnotifier/master/docs/assets/usage_example/ui.gif)
![Demo](https://raw.githubusercontent.com/rk4bir/djnotifier/master/docs/assets/usage_example/demo.gif)
mvlearn 0.5.0
A set of python modules for multiview learning
License: MIT

<p align="center">
  <img width=300 src="docs/figures/mvlearn-logo-transparent-grey.png" />
</p>


[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mvlearn.svg)](https://img.shields.io/pypi/pyversions/mvlearn.svg)
[![GH Actions Tests](https://github.com/mvlearn/mvlearn/actions/workflows/main.yml/badge.svg)](https://github.com/mvlearn/mvlearn/actions)
[![CircleCI](https://circleci.com/gh/mvlearn/mvlearn/tree/main.svg?style=shield)](https://app.circleci.com/pipelines/github/mvlearn/mvlearn)
[![codecov](https://codecov.io/gh/mvlearn/mvlearn/branch/main/graph/badge.svg)](https://codecov.io/gh/mvlearn/mvlearn)
[![PyPI version](https://badge.fury.io/py/mvlearn.svg)](https://badge.fury.io/py/mvlearn)
[![Conda Version](https://img.shields.io/conda/vn/conda-forge/mvlearn.svg)](https://anaconda.org/conda-forge/mvlearn)
[![License](https://img.shields.io/github/license/mvlearn/mvlearn)](https://opensource.org/licenses/MIT)
[![Paper shield](https://img.shields.io/badge/JMLR-Paper-red)](https://www.jmlr.org/papers/volume22/20-1370/20-1370.pdf)


`mvlearn` is an open-source Python software package for multiview learning tools.

- [**Installation Guide**](https://mvlearn.github.io/install.html)
- [**Documentation**](https://mvlearn.github.io/)
- [**Examples**](https://mvlearn.github.io/auto_examples/index.html)
- [**Source Code**](https://github.com/mvlearn/mvlearn/tree/main/mvlearn)
- [**Issues**](https://github.com/mvlearn/mvlearn/issues)
- [**Contribution Guide**](https://mvlearn.github.io/contributing.html)
- [**Changelog**](https://mvlearn.github.io/changelog.html)

`mvlearn` aims to serve as a community-driven open-source software package that offers reference implementations for algorithms and methods related to multiview learning (machine learning in settings where there are multiple incommensurate views or feature sets for each sample). It brings together the most widely-used tools in this setting with a standardized scikit-learn like API, well tested code and high-quality documentation. Doing so, we aim to facilitate application, extension, and comparison of methods, and offer a foundation for research into new multiview algorithms. We welcome new contributors and the addition of methods with proven efficacy and current use.

## Citing mvlearn

If you find the package useful for your research, please cite our [JMLR Paper](https://www.jmlr.org/papers/volume22/20-1370/20-1370.pdf).

> Perry, Ronan, et al. "mvlearn: Multiview Machine Learning in Python." Journal of Machine Learning Research 22.109 (2021): 1-7.


BibTeX entry:

```tex
@article{perry2021mvlearn,
  title={mvlearn: Multiview Machine Learning in Python},
  author={Perry, Ronan and Mischler, Gavin and Guo, Richard and Lee, Theodore and Chang, Alexander and Koul, Arman and Franz, Cameron and Richard, Hugo and Carmichael, Iain and Ablin, Pierre and Gramfort, Alexandre and Vogelstein, Joshua T.},
  journal={Journal of Machine Learning Research},
  volume={22},
  number={109},
  pages={1-7},
  year={2021}
}
```
tglogging 0.0.4
A python package to stream your app logs to a telegram chat in realtime.
License: MIT
Requires Python: >=3.6

# Telegram Logger 

> A simple python package to send your app logs to a telegram chat in realtime.

<p align="center">
  <img src="images/tglogger.jpg" alt="Sample Image">
</p>

### Installing

``` bash
pip3 install tglogging
```

## Example Usage

Add ```TelegramLogHandler``` handler to your logging config.


```python
import logging
from tglogging import TelegramLogHandler

# TelegramLogHandler is a custom handler which is inherited from an existing handler. ie, StreamHandler.

logging.basicConfig(
    level=logging.INFO,
    format="[%(asctime)s - %(levelname)s] - %(name)s - %(message)s",
    datefmt='%d-%b-%y %H:%M:%S',
    handlers=[
        TelegramLogHandler(
            token="12345678:AbCDEFGhiJklmNoPQRTSUVWxyZ", 
            log_chat_id=-10225533666, 
            update_interval=2, 
            minimum_lines=1, 
            pending_logs=200000),
        logging.StreamHandler()
    ]
)

logger = logging.getLogger(__name__)

logger.info("live log streaming to telegram.")

```
## Parameters

```token``` : A telegram bot token to interact with telegram API.

```log_chat_id``` : Chat id of chat to which logs are to be send.

```update_interval```: Interval between two posting in seconds. Lower intervals will lead to floodwaits. Default to 5 seconds.

```minimum_lines```: Minimum number of new lines required to post / edit a message.

```pending_logs```: Maximum number of characters for pending logs to send as file.
default to 200000. this means if the app is producing a lot of logs within short span of time, if the pending logs exceeds 200000 characters it will be send as a file. change according to your app.


## LICENSE

- [MIT License](./LICENSE)