dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

conorbuck

var p1 = {
	x: 20,
	y: 20
};

var p2 = {
	x: 40,
	y: 40
};

nicerobot

To run this, you can try:

curl -ksO https://gist.githubusercontent.com/nicerobot/2697848/raw/uninstall-node.sh
chmod +x ./uninstall-node.sh
./uninstall-node.sh
rm uninstall-node.sh

briantjacobs

Storytelling from Space: Tools/Resources

This list of resources is all about acquring and processing aerial imagery. It's generally broken up in three ways: how to go about this in Photoshop/GIMP, using command-line tools, or in GIS software, depending what's most comfortable to you. Often these tools can be used in conjunction with each other.

Acquiring Landsat & MODIS

Web Interface

• USGS Earth Explorer - Browser and data access (create a login)
  http://earthexplorer.usgs.gov/

• Landsat archive

juniorz

# Some good references are:
# http://russbrooks.com/2010/11/25/install-postgresql-9-on-os-x
# http://www.paolocorti.net/2008/01/30/installing-postgis-on-ubuntu/
# http://postgis.refractions.net/documentation/manual-1.5/ch02.html#id2630392

#1. Install PostgreSQL postgis and postgres

brew install postgis
initdb /usr/local/var/postgres
pg_ctl -D /usr/local/var/postgres -l /usr/local/var/postgres/server.log start

YKCzoli

Processing LiDAR to extract building heights

Walk through

Detailed walk through of building extraction using postgis

First lets pull a data layer from of openstreetmap. You can do this any which way you’d like, as there are a variety of methods for pulling openstreetmap data from their database. Check the [wiki] (http://wiki.openstreetmap.org/wiki/Downloading_data) for a comprehensive list. My favourite method thus far is pulling the data straight into QGIS using the open layers plugin. For those who may want to explore this method, check [this tutorial] (http://www.qgistutorials.com/en/docs/downloading_osm_data.html). For building extraction you only need building footprints, and include the building tags. Not all polygons are of type building in OSM, so we can download all the polygons, and then filter the layer for only polygons tagged as buildings.

LiDAR data was pulled from USGS via the Earth Explorer site. [Here] (http://earthobservatory.nasa.gov/blogs/ele

mfornos

/*
-----------------------------------
Emoji - natural display for the web
-----------------------------------

These font face definitions allows to display emoji glyphs intermingled with 
arbitrary characters outside emoji unicode blocks.


Usage

mourner

// Lefalet shortcuts for common tile providers - is it worth adding such 1.5kb to Leaflet core?

L.TileLayer.Common = L.TileLayer.extend({
	initialize: function (options) {
		L.TileLayer.prototype.initialize.call(this, this.url, options);
	}
});

(function () {