adamstac

Disable:

sudo launchctl unload -w /System/Library/LaunchDaemons/com.apple.metadata.mds.plist

Enable:

sudo launchctl load -w /System/Library/LaunchDaemons/com.apple.metadata.mds.plist

naiquevin

#!/usr/bin/env python

## Mysql-Python basic examples.
## All code is taken from [here](http://zetcode.com/databases/mysqlpythontutorial/)
## Gist created only for quick reference purpose

import sys
import _mysql

import MySQLdb as mdb

audreyt

開源之道

Original transcript: http://allisonrandal.com/2012/04/15/open-source-enlightenment/

這幾年來，我慢慢覺得，我們參與開源社群，就像是在一條道路上並肩而行：這不僅讓我們成為更好的程式設計者，也讓我們通過與人合作，而成為更好的人。

您可以將它想成一條修行之道，讓身而為人的我們能夠不斷成長。接下來，我想談談我對開源世界的個人觀點，希望能與您分享。

首先，人是一切開源專案的核心。程式碼是很重要，但最核心的永遠是人。

jboner

Latency Comparison Numbers (~2012)
----------------------------------
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        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

JoshRosen

$ sbt/sbt "jacoco:cover"
$ open core/target/scala-2.9.2/jacoco/html/index.html 

leifg

file_to_disk = './tmp/large_disk.vdi'

Vagrant::Config.run do |config|
  config.vm.box = 'base'

  config.vm.customize ['createhd', '--filename', file_to_disk, '--size', 500 * 1024]
  config.vm.customize ['storageattach', :id, '--storagectl', 'SATA Controller', '--port', 1, '--device', 0, '--type', 'hdd', '--medium', file_to_disk]
end

bkreider

"""A notebook manager that uses S3 storage. (based on the Azure manager)
http://ipython.org/ipython-doc/dev/interactive/htmlnotebook.html#using-a-different-notebook-store

Drop this file in IPython/frontend/html/notebook

1. Create a new notebook profile - ipython profile create nbserver
2. edit ~/.ipython/profile_nbserver/ipython_notebook_config.py
3. Add these lines:

    c.NotebookApp.notebook_manager_class = 'IPython.frontend.html.notebook.s3nbmanager.S3NotebookManager'

airawat

This gist includes components of a simple workflow application that created a directory and moves files within 
hdfs to this directory; 
Emails are sent out to notify designated users of success/failure of workflow.  There is a prepare section, 
to allow re-run of the  action..the prepare essentially negates the move done by a potential prior run 
of the action.  Sample data is also included.

The sample application includes:
--------------------------------
1.  Oozie actions: hdfs action and email action 
2.  Oozie workflow controls: start, end, and kill. 

mushkevych

FROM    ubuntu:precise
MAINTAINER Bohdan Mushkevych

# Installing Oracle JDK
RUN apt-get -y install python-software-properties ;\
	add-apt-repository ppa:webupd8team/java ;\
	apt-get update && apt-get -y upgrade ;\
	echo oracle-java7-installer shared/accepted-oracle-license-v1-1 select true | /usr/bin/debconf-set-selections ;\
	apt-get -y install oracle-java7-installer && apt-get clean ;\
	update-alternatives --display java ;\

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