| #!/usr/bin/env python3 | |
| import aioesphomeapi | |
| import asyncio | |
| async def main(): | |
| loop = asyncio.get_running_loop() | |
| cli = aioesphomeapi.APIClient(loop, "HOST-OR-IP", 6053, "API-PASSWORD-OR_EMPTY") | |
| await cli.connect(login=True) |
| import requests | |
| import urllib | |
| import requests | |
| import json | |
| import random | |
| """ | |
| here is a wrapper for the *unreleased* electric objects API | |
| Built by Harper Reed ([email protected]) - @harper |
This example loads a CartoDB layer using a crazy SQL from a small variation of this awesome Stack Overflow response. Note the use of CSS style tags for the CartoCSS to allow easy editing.
The uncompressed (and not perfect!) version of the SQL to draw the Voronoi diagram is:
WITH
Sample AS (
SELECT st_setsrid(st_union(the_geom),0) as geom
FROM registro_centros_nz WHERE spanish = 1
),
| #!/usr/bin/env python | |
| # encoding: utf-8 | |
| """ | |
| make_table.py | |
| Given a CSV file with a header row, and at-least one row of data, | |
| output a SQL `CREATE TABLE` statement by guessing the data type of the columns. | |
| Pradeep Gowda <[email protected]> | |
| License: Public Domain |