matsuda

/**
 http://mythosil.hatenablog.com/entry/20111017/1318873155
 http://blog.dealforest.net/2012/03/ios-android-per-aes-crypt-connection/
 */

@interface NSData (AES)

- (NSData *)AES128EncryptedDataWithKey:(NSString *)key;
- (NSData *)AES128DecryptedDataWithKey:(NSString *)key;
- (NSData *)AES128EncryptedDataWithKey:(NSString *)key iv:(NSString *)iv;

simme

// Load Ember into the global scope by requiring it
require('ember');

// Go have fun
var app = Ember.Application.create();

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

basuke

#
# python drive.py "origin" ["waypoint" ... ] "destination"
#
# i.e. python drive.py "Union Square, San Francisco" "Ferry Building, San Francisco" 'Bay Bridge' SFO

import sys, json, urllib2, md5, os.path, pprint
from math import radians, sin, cos, atan2, pow, sqrt
from urllib import quote_plus
from xml.sax.saxutils import escape
from optparse import OptionParser

mikhailov

# Nginx+Unicorn best-practices congifuration guide. Heartbleed fixed.
# We use latest stable nginx with fresh **openssl**, **zlib** and **pcre** dependencies.
# Some extra handy modules to use: --with-http_stub_status_module --with-http_gzip_static_module
#
# Deployment structure
#
# SERVER:
#  /etc/init.d/nginx                             (1. nginx)
#  /home/app/public_html/app_production/current  (Capistrano directory)
#

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

drnic

guard 'rspec', :version => 2 do
  watch(%r{^spec/.+_spec\.rb$})
  watch(%r{^lib/(.+)\.rb$})     { |m| "spec/lib/#{m[1]}_spec.rb" }
  watch('spec/spec_helper.rb')  { "spec" }

  # Rails example
  watch(%r{^app/(.+)\.rb$})                           { |m| "spec/#{m[1]}_spec.rb" }
  watch(%r{^app/(.*)(\.erb|\.haml)$})                 { |m| "spec/#{m[1]}#{m[2]}_spec.rb" }
  watch(%r{^app/controllers/(.+)_(controller)\.rb$})  { |m| ["spec/routing/#{m[1]}_routing_spec.rb", "spec/#{m[2]}s/#{m[1]}_#{m[2]}_spec.rb", "spec/acceptance/#{m[1]}_spec.rb"] }
  watch(%r{^spec/support/(.+)\.rb$})                  { "spec" }

kyleturner

To remove a submodule you need to:

Delete the relevant line from the .gitmodules file.
Delete the relevant section from .git/config.
Run git rm --cached path_to_submodule (no trailing slash).
Commit and delete the now untracked submodule files.