This tutorial was created by Shopify for internal purposes. We've created a public version of it since we think it's useful to anyone creating a GraphQL API.
It's based on lessons learned from creating and evolving production schemas at Shopify over almost 3 years. The tutorial has evolved and will continue to change in the future so nothing is set in stone.
| import random | |
| import time | |
| import json | |
| import threading | |
| import click | |
| def send_message(msg, async=True): | |
| """Logs the msg (presumably a JSON object) to firehose |
We're very much Python powered!
The combination of ^ with other standard Python utilities provide a powerful & flexible means of achieving almost any sort of geospatial process you can imagine.
| require "rubygems" | |
| require "twitter" | |
| # get these from apps.twitter.com | |
| CONSUMER_KEY = "foo" | |
| CONSUMER_SECRET = "bar" | |
| OAUTH_TOKEN = "blee" | |
| OAUTH_TOKEN_SECRET = "baz" | |
| TWITTER_USER = "your_username" # needs to be the one associated with keys above |
$ pip install jupyterlab
$ jupyter labextension install @jupyterlab/geojson-extension
Hi, and welcome!
We love pixels. We build our tools such that they allow us to work with pixels at a wide range of scales, from individual landsat scenes, to global mosaics, via command line programs or as python libraries we can integrate into large processing pipelines.
Today we'll walk through:
mapbox.satellite, and serve it globally at crazy speed
Fc660 dip switch
http://tiborsimko.org/capslock-escape-control.html
Karabiner-Elements
| ! Atom One Light theme | |
| xterm*background: #f9f9f9 | |
| xterm*foreground: #383a42 | |
| xterm*cursorColor: #d0d0d0 | |
| xterm*color0: #000000 | |
| xterm*color1: #E45649 | |
| xterm*color2: #50A14F | |
| xterm*color3: #986801 | |
| xterm*color4: #4078F2 | |
| xterm*color5: #A626A4 |