Jacques Tardie jqtrde

How to create D3 visualizations that resize and scale well

When creating the SVG, add this bit of D3:

.attr("id","chart")
.attr("viewBox","0 0 960 500")
.attr("perserveAspectRatio","xMinYMid")

Then later in the code, add this bit of jQuery:

Quick idea to understand what modules get imported.

Example:

>>> import importlog

# Run a bunch of code
>>> import shapely.geometry
>>> p = shapely.geometry.Point(0.0, 0.0)
&gt;&gt;&gt; b = p.buffer(1.0)

General Background and Overview

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

Deploy your own PaaS!

Setting up Dokku with DigitalOcean and Namecheap

..or how I made my own heroku in a few hours for $3.98.

This write-up owes a great deal to dscape's Node.js Deployments with Docker, Dokku, & Digital Ocean, the dokku project itself, and the fine folks working on dokku's issues. I took dscape's article as a starting point when trying this out but found some details lacking so I documented my own process for getting dokku up and running.

	# hackety hack

	from sys import argv
	import rasterio as rio
	import numpy as np
	from sklearn import decomposition

	with rio.open(argv[1]) as src:

	count = src.meta['count']

	FROM debian:7

	ENV DEBIAN_FRONTEND noninteractive

	RUN apt-get -qq update \
	&& apt-get -qq -y --no-install-recommends install \
	autoconf \
	automake \
	build-essential \
	curl \

	# Beta-quality Landsat 8-oriented windowed pansharpener by Charlie Loyd

	# python3 panchunk.py $SCENE/*B{4,3,2,8}.TIF ${SCENE}-pansharp.tif

	# Then you may want something like this to brighten it up:
	# convert -channel B -gamma 0.96 -channel RGB -sigmoidal-contrast 40,14% ${SCENE}-pansharp.tif ${SCENE}-pretty.tif
	# But that will strip geo tags.

	import asyncio
	import rasterio as rio

Jacques Tardie jqtrde

How to create D3 visualizations that resize and scale well

Deploy your own PaaS!

1. Get a domain