mgottholsen

<?xml version="1.0" encoding="UTF-8"?>
<Capabilities xmlns="http://www.opengis.net/wmts/1.0"
xmlns:ows="http://www.opengis.net/ows/1.1"
xmlns:xlink="http://www.w3.org/1999/xlink"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:gml="http://www.opengis.net/gml"
xsi:schemaLocation="http://www.opengis.net/wmts/1.0 http://schemas.opengis.net/wmts/1.0/wmtsGetCapabilities_response.xsd"
version="1.0.0">
<!-- Service Identification --> <ows:ServiceIdentification>
<ows:Title>LOJIC_HistoricImagery2016</ows:Title>

mgottholsen

https://www.huduser.gov/portal/usps/home.html

HUD has entered into an agreement with the United States Postal Service (USPS) to receive quarterly aggregate data on addresses identified by the USPS as having been "vacant" or "no-stat" in the previous quarter. HUD is making these data available for researchers and practitioners to explore their potential utility for tracking neighborhood change on a quarterly basis. The potential power of these data is that they represent the universe of all addresses in the United States and are updated every three months. Under the agreement with the USPS, HUD can make the data available publicly at the Census Tract level provided users agree to the terms and conditions of the click-on sublicense.


Total Number of Addresses - This reflects all addresses (residential and commercial) that USPS has recorded in their database.

Total Vacant Addresses - These are addresses that delivery staff on urban routes have identified as being vacant (not collecting their mail) for 90 days

mgottholsen

latitude,longitude
38.2279736,-85.7938262
38.2283609,-85.7937792
38.0984972,-85.8558046
38.2507318,-85.5904163
38.2456706,-85.6337935
38.0931369,-85.7452002
38.1362353,-85.7712499
38.1032101,-85.8727555
38.1850315,-85.5410653

mgottholsen

[
    {
        "id": "207111fc.39d516",
        "type": "http request",
        "z": "de854356.27206",
        "name": "login",
        "method": "POST",
        "ret": "obj",
        "url": "https://api.autopi.io/auth/login/",
        "tls": "",

mgottholsen

#!/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)