WAUthethird

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

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This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

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pbailis

A friend asked me for a few pointers to interesting, mostly recent papers on data warehousing and "big data" database systems, with an eye towards real-world deployments. I figured I'd share the list. It's biased and rather incomplete but maybe of interest to someone. While many are obvious choices (I've omitted several, like MapReduce), I think there are a few underappreciated gems.

###Dataflow Engines:

Dryad--general-purpose distributed parallel dataflow engine
http://research.microsoft.com/en-us/projects/dryad/eurosys07.pdf

Spark--in memory dataflow
http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf

nicferrier

(defun lisp-reinsert-as-pp ()
  "Read sexp at point, delete it and pretty print it back in."
  (interactive)
  (let* ((buf (current-buffer))
         (pp-sexp
          (replace-regexp-in-string
           "\\(\n\\)$"
           ""
           (with-temp-buffer
             (let ((bufname (buffer-name)))

pcalcado

#!/bin/bash

function specs_to_run(){
    git status | grep rb$ | awk '{print $3}' | sed -e "s/^[a-z][a-z]*/spec/g" | sed -e "s/[a-z_]*.rb$/\*/g" | sort | uniq
}

echo "Need to run these before checking-in:"
specs_to_run

bundle exec spec `specs_to_run | xargs -L 1000 echo`

koshigoe

#!/bin/sh

# This program has two feature.
#
# 1. Create a disk image on RAM.
# 2. Mount that disk image.
#
# Usage:
#   $0 <dir> <size>
#