semvec/pypi-packages huggingface dataset:
pystibmivb 1.8.0
Get realtime info on stop passages of STIB/MIVB (opendata-api.stib-mivb.be)
License: MIT
Requires Python: >=3.5.0

# pystibmivb [![GitHub version](https://badge.fury.io/gh/helldog136%2Fpystibmivb.svg)](https://badge.fury.io/gh/helldog136%2Fpystibmivb) [![Build Status](https://travis-ci.com/helldog136%2Fpystibmivb.svg?branch=master)](https://travis-ci.com/helldog136/pystibmivb) [![PyPI version](https://badge.fury.io/py/pystibmivb.svg)](https://badge.fury.io/py/pystibmivb) [![Buy me a beer!](https://img.shields.io/badge/%F0%9F%A5%83-Buy%20me%20a%20Beer-orange)](https://www.buymeacoffee.com/helldog136) 
A Python package to retrieve realtime data of passages at stops of STIB/MIVB, the public transport company of Brussels (Belgium)

Main purpose at the moment is to feed a sensor in Home-Assistant (see: https://github.com/Emilv2/home-assistant/tree/stib-mivb/homeassistant/components/stib_mivb )

**Important note**: a developer account needs to be created at https://opendata.stib-mivb.be/ to generate a subscription key for the api's.

## Install

```bash
pip install pystibmivb
```

### Example usage

```python
"""Example usage of pystibmivb."""
import asyncio

import aiohttp

from pystibmivb import STIBAPIClient, STIBStop, STIBAPIAuthClient
from pystibmivb import STIBService
from pystibmivb import ShapefileService

CLIENT_ID = ''  # Put your openapi client ID here
CLIENT_SECRET = ''  # Put your openapi client secret here


async def go(LOOP):
    stop_name = "Scherdemael"
    lines_filter = [(46, "Glibert")]
    custom_session = aiohttp.ClientSession()
    APIClient = STIBAPIClient(LOOP, custom_session, STIBAPIAuthClient(custom_session, CLIENT_ID, CLIENT_SECRET))
    service = STIBService(APIClient)

    stop = STIBStop(service, stop_name, lines_filter, 3)
    print(await stop.get_passages())

    shapefile_service = ShapefileService(APIClient)

    scherdemael = await shapefile_service.get_stop_infos(stop_name)
    print(scherdemael.get_lines())
    # doesn't really make sense to specify a filter but hey... you can
    print(scherdemael.get_lines(lines_filter))
    print(scherdemael.get_lines_with_destinations(lines_filter))

    await custom_session.close()


if __name__ == '__main__':
    LOOP = asyncio.get_event_loop()
    LOOP.run_until_complete(go(LOOP))


```

Old repository: https://github.com/helldog136/pystibmvib
Initial inspiration came from : https://github.com/bollewolle/pydelijn
easyCodes 0.0.2
Get general utility algorithms in output to use
License: MIT

This is a simple code snippets library for oftenly used algorithms and code snippets. You have to just type some matching strings to get the code as the output on your screen
Useful in Competetive Programming
======

Attributes present:
-------------------

getCodeFor('Name_of_your_required_function')

-> This function matches the functions present in the package to the name provided by the function call and prints the most similar function


----

availableCodes()

-> This function doesn't take any arguments and prints the code available in the package

----

THIC PACKAGE HAS CODE SNIPPETS OF FOLLOWING FUNCTIONS (and takes no arguments)

dfs, bfs, dijkstra, bellmanFord, knapsackTabulation, knapsackSet, travellingSalesman, availableCodes, inlineString, numInputs

inlineString: Is for setting input stream for the program
numInputs: Is for the boilerplate codes

Change Log
==========

0.0.1 (09/04/2021)
-------------------
- First Release

0.0.2 (09/04/2021)
-------------------
- Minor fixings
modeld-python-sdk 0.3.653
python client sdk for the modeld auto ml system.
License: MIT
Requires Python: >=3.8,<4.0
Keywords: modeld,automl

## What is Modeld.io API?

Modeld.io is an automatic machine learning platform for Kubernetes. The modeld.io api is a set
of custom kuberentes resources in the area of data science and automatic machine learning. 
The API is implemented by the modeld.io platform which is closed source as the moment. 

For complete documentation on the modeld.io API, please visit our documentation at [www.modeld.io](https://www.modeld.io/).

## Installing Modeld.io

The modeld.io platform can be installed via an helm chart. For a complete installation procedure
please refer to the modeld.io documentation at [www.modeld.io](https://www.modeld.io/docs).

## Using Modeld.io

The Modeld API specify a set of crds and services which are implemented by the modeld.io platform.