dsparks

# Cross-matrix distances and different measurement options, with "proxy"
doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("proxy", "MASS", "Zelig")
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Invent two data frames
voterIdealPoints <- data.frame(matrix(rnorm(26*2), ncol = 2))
rownames(voterIdealPoints) <- letters

bwhite

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

jeroenr

val MaxInt = """(inf)""".r
val NormalInt = """(\d*)""".r

def parseInt(integerString:String): Int = {
   integerString match {
     case MaxInt(_) => Integer.MAX_VALUE
     case NormalInt(_) => Integer.valueOf(integerString)
     case _ => throw new NumberFormatException(String.format("Cannot parse %s as an integer", integerString))
   }
}

NorthIsUp

"""
realertime.lib.spawn
~~~~~~~~~~~~~~~~~~~~

:author: Adam Hitchcock
:copyright: (c) 2012 DISQUS.
:license: Apache License 2.0, see LICENSE for more details.
"""

from __future__ import absolute_import

darkseed

-- This is a Hive program. Hive is an SQL-like language that compiles
-- into Hadoop Map/Reduce jobs. It's very popular among analysts at
-- Facebook, because it allows them to query enormous Hadoop data
-- stores using a language much like SQL.

-- Our logs are stored on the Hadoop Distributed File System, in the
-- directory /logs/randomhacks.net/access.  They're ordinary Apache
-- logs in *.gz format.
--
-- We want to pretend that these gzipped log files are a database table,

oodavid

Backup MySQL to Amazon S3

This is a simple way to backup your MySQL tables to Amazon S3 for a nightly backup - this is all to be done on your server :-)

Sister Document - Restore MySQL from Amazon S3 - read that next

1 - Install s3cmd

this is for Centos 5.6, see http://s3tools.org/repositories for other systems like ubuntu etc

darkseed

-- This is a Hive program. Hive is an SQL-like language that compiles
-- into Hadoop Map/Reduce jobs. It's very popular among analysts at
-- Facebook, because it allows them to query enormous Hadoop data
-- stores using a language much like SQL.

-- Our logs are stored on the Hadoop Distributed File System, in the
-- directory /logs/randomhacks.net/access.  They're ordinary Apache
-- logs in *.gz format.
--
-- We want to pretend that these gzipped log files are a database table,

samvermette

self.view.layer.anchorPoint = CGPointMake(0.50, 1.0);
CAKeyframeAnimation *bounceAnimation = [CAKeyframeAnimation animationWithKeyPath:@"transform.scale"];

bounceAnimation.values = [NSArray arrayWithObjects:
                          [NSNumber numberWithFloat:0.05],
                          [NSNumber numberWithFloat:1.08],
                          [NSNumber numberWithFloat:0.92],
                          [NSNumber numberWithFloat:1.0], 
                          nil];

chrishamant

#!/usr/bin/env python
"""Split large file into multiple pieces for upload to S3.

S3 only supports 5Gb files for uploading directly, so for larger CloudBioLinux
box images we need to use boto's multipart file support.

This parallelizes the task over available cores using multiprocessing.

Usage:
  s3_multipart_upload.py <file_to_transfer> <bucket_name> [<s3_key_name>]

michaelaguiar

var donutVal = 85;
    
    
    var donutFull = 100 - donutVal;
    var d3_category_socialmedia = ["#0054a6", "#dbdbdb"];
    
    
    if(donutVal < 50) {
    	donutVal = -donutVal;
    	donutFull = -donutFull;