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View parse-arg.clj
;; Based on
(defn parse-arg [s]
(condp (comp next re-matches) s
#"([+-])(\w+)" :>> (fn [[f k]] [(keyword k) (= f "+")])
#"(\w+)=(\w+)" :>> (fn [[k v]] [(keyword k) v])
(throw (IllegalArgumentException. s))))
(parse-arg "+foo") ;=> [:foo true]
(parse-arg "-foo") ;=> [:foo false]
View gist:3bf900821cc70f57cdb4
  1. General Background and Overview

Business Models


Models Examples
Display ads Yahoo!
Search ads Google
View latency.txt
Latency Comparison Numbers
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns
Send 1K bytes over 1 Gbps network 10,000 ns 0.01 ms
Read 4K randomly from SSD* 150,000 ns 0.15 ms
View gist:8259970
  1. General Background and Overview
View tmux_cheatsheet.markdown

tmux cheatsheet

As configured in my dotfiles.

start new:


start new with session name:


A friend asked me for a few pointers to interesting, mostly recent papers on data warehousing and "big data" database systems, and I figured I'd share the list. This is biased and rather incomplete but maybe of interest to someone. While many are obvious choices, I think there are a few underappreciated gems.

Dataflow/Stream Processing Engines:

Dryad--general-purpose distributed parallel dataflow engine

Google Dremel--columnar storage for fast queries (c.f. Impala)

from mock import CallableMixin, NonCallableMock
class AsyncCallableMixin(CallableMixin):
"""Change the __call__ method such that it does not return but call the
`callback` kwarg with the return value.
def __call__(_mock_self, *args, **kwargs):
cb = kwargs.get('callback', None)
# install git
sudo apt-get install g++ curl libssl-dev apache2-utils
sudo apt-get install git-core
# download the Node source, compile and install it
git clone
cd node
sudo make install
# install the Node package manager for later use
# vim: set fileencoding: utf-8 :
import os
from PIL import Image
except ImportError:
import Image
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