Jacques Tardie jqtrde

Tools

We're very much Python powered!

rasterio - Reading and writing geospatial data (rasters)
shapely - Manipulation and analysis of geometric objects (vectors)
fiona - Reading and writing geospatial data (vectors)

The combination of ^ with other standard Python utilities provide a powerful & flexible means of achieving almost any sort of geospatial process you can imagine.

Tutorial: Designing a GraphQL API

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.

PostgreSQL & PostGIS Cheatsheet

This is a collection of information on PostgreSQL and PostGIS for what I tend to use most often.

For a while, I thought that our modern culture's relationship to science best resembled the Catholic Church during the middle ages. Priests delivering sermons in Latin, indulgences, poor families of believers praying one of their sons would be bright enough for the clergy... Then I discovered the Druze.

"But when I asked him about the Druze faith, he gave me an unexpected reply. 'I know nothing about the Druze', the pre-eminent leader of the Druze declared with a violent wave of his arm. From his piles of books he selected a couple by Tariq Ali and gave them to me as gifts. He invited me to visit him at his palace in the mountains. And then he said goodbye. Either the most powerful Druze man in Lebanon, an intellectual in his own right, had been excluded from the teachings of his own religion, or else he knew better than to pass them on to an outsider. I had every intention of taking up his invitation to spend time among the Druze communities, but first I would have to find someone more willing to talk

TIFF compression options

Summary

Realistically, especially when considering the inherent noise in the original image, I'd settle for lossy compression with COMPRESS=JPEG JPEG_QUALITY=90, which could reduce file size fairly quickly to 16% of the original.

But if lossless compression is a hard requirement, I'd probably go with COMPRESS=LZW PREDICTOR=2. However, I would want to verify that any downstream tools wolud support this sort of compression.

UPDATE: When saving with JPEG compression, further speed and size improvements are gained by adding PHOTOMETRIC=YCBCR, which uses a different color space that has even better compression. I've added new rows to the table for YCBCR, as well as .jp2 formats.

	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

	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

	from botocore.credentials import RefreshableCredentials
	from botocore.session import get_session

	from boto3 import Session


	def assumed_session(role_arn, session_name, session=None):
	"""STS Role assume a boto3.Session

	With automatic credential renewal.