ayman

## Compute the distances between all US Zipcodes.
## To save time we just compute the diagonal and use multiple cores.
require(parallel)
library(geosphere)
library(MASS)
library(zipcode)
data(zipcode)
## Uncode for testing
## zipcode <- zipcode[1:10,]
zips.num = dim(zipcode)[1]

ayman

class func bingReverseGeocode(inout location: CLLocation,
                              callback: (CLLocation) -> Void) {
    var bingAPIKey = "ABCDEF-1234567890"
    var lat = location.coordinate.latitude
    var lon = location.coordinate.longitude
    var u = "http://dev.virtualearth.net/REST/v1/Locations/\(lat),\(lon)?o=json&key=\(bingAPIKey)"
    var url = NSURL(string: u)
    var request: NSURLRequest = NSURLRequest(URL: url!)
    let session = NSURLSession.sharedSession()
    let task = session.dataTaskWithURL(url!, completionHandler: {data, response, error -> Void in

ayman

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; Jabber Terminal Notifier 
;; requires 'init-terminal-notifier.el'
;; https://gist.github.com/ayman/bb72a25e16af9e6f30bf

(defun jabber-info-terminal-notify (infotype buffer text)
  "Pushing info notifications through terminal-notify."
  (unless (get-buffer-window buffer)
    (terminal-notifier-notify "Jabber" (jabber-escape-xml text))))

ayman

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; Terminal notifier 
;; requires 'sudo port install terminal-notifier'
;; stolen from erc-notifier
;;
;; (terminal-notifier-notify "Emacs notification"
;;                           "Something amusing happened")

(defvar terminal-notifier-command
  (executable-find "terminal-notifier")

ayman

library(RColorBrewer)
library(maptools)
library(ggplot2)
library(mapproj)
library(rgdal)

## make sure you call
gpclibPermit() 

data(wrld_simpl)

ayman

f.name <- "file.csv"
f.command <- paste("wc -l",
                   f.name,
                   "| cut -d \" \" -f 2")
f.rows <- as.numeric(system(f.command, intern = TRUE))
f <- read.csv(f.name,
              nrows=f.rows,
              col.names=c("user", "phone", "total", "percent"),
              colClasses=c("numeric","numeric","numeric","numeric"),
              header=FALSE)

ayman

//
//  RGBCountrViewController.swift
//  RGBCountr
//
//  Created by David A. Shamma on 4/9/15.
//  Some parts taken from around the web.
//
//  Simply take one photo and remember it, 
//  then count the RGB diff from the next photo.
//  Ideally one should do this via histograms but this was quick.

ayman

### Get the DOIs for an ACM DL Citation. 
###
### David A. Shamma - GNU 2.0 License
### 
## Call like this: 
## get_citations('1290082.1290120', True)
## or just the tail/acm id
## get_citations('1290120')
##
## Prints to the console:

ayman

# Type 0: stacked area, 1: themeriver, 2: streamgraph
areaGraph <- function(thedata, type=2, smooth=TRUE) {	
    ## Color palette
    nColors <- 15
    ## pal <- colorRampPalette(c("#0f7fb4", "#e2e2e2"))
    ## pal <- colorRampPalette(c("#6364a9", "#e2e2e2"))  # Purple
    pal <- colorRampPalette(c("#48611d", "#f0f0f0"))
    colors <- pal(nColors)
    weights <- rowSums(thedata)
    ## Sort the data

ayman

#!/usr/bin/python

# Light painting / POV demo for Raspberry Pi using
# Adafruit Digital Addressable RGB LED flex strip.
# ----> http://adafruit.com/products/306

import RPi.GPIO as GPIO, Image, time

# Configurable values
filename  = "hello.png"