bosmacs

%!TEX TS-program = xelatex
\documentclass[12pt]{scrartcl}  

% The declaration of the document class:

% The second line here, i.e.
% \documentclass[12pt]{scrartcl} 
% is a standard LaTeX document class declaration: 
% we say what kind of document we are making in curly brackets, 
% and specify any options in square brackets.

baali

'''
A hack based on this http://mikepultz.com/2011/03/accessing-google-speech-api-chrome-11/. While with smaller voice samples google speech to text works really good, as length increases quality decreases. So here using audiolab and numPy we are breaking audio sample, in smaller chunks, and removing blank/empty spaces from audio signal and then pushing them to google for processing. 
It takes wav file format as input but can be changed to other formats too.
'''

from scikits.audiolab import wavread, play, flacwrite
from numpy import average, array, hstack
import os
import sys

sheymann

# ----------------------------------------------------------------------------
# Rudolf Cardinal, March 2011
# Simple extensions to ggplot2 (v0.8.7); see http://www.psychol.cam.ac.uk/statistics/R/
# ----------------------------------------------------------------------------

theme_L_border <- function(colour = "black", size = 1, linetype = 1) {
  # use with e.g.: ggplot(...) + opts( panel.border=theme_L_border() ) + ...
  structure(
    function(x = 0, y = 0, width = 1, height = 1, ...) {
      polylineGrob(

jeromyanglim

`r opts_chunk$set(cache=TRUE)`

This is a quick set of analyses of the California Test Score dataset.  The post was produced using R Markdown in RStudio 0.96.  The main purpose of this post is to provide a case study of using R Markdown to prepare a quick reproducible report.  It provides examples of using plots, output, in-line R code, and markdown. The post is designed to be read along side the R Markdown source code, which is available as a gist on github. 

<!-- more -->

### Preliminaries
* This post builds on my earlier post which provided a guide for [Getting Started with R Markdown, knitr, and RStudio 0.96](jeromyanglim.blogspot.com/2012/05/getting-started-with-r-markdown-knitr.html)
* The dataset analysed comes from the `AER` package which is an accompaniment to the book [Applied Econometrics with R](http://www.amazon.com/Applied-Econometrics-R-Use/dp/0387773169) written by [Christian Kleiber](http://wwz.unibas.ch/personen/profil/person/kleiber/) and [Achim Zeileis](http://eeecon.uibk.ac.at/~zeileis/

livibetter

This Gist has been moved to https://github.com/lbgists/audio-spectrum-matplotlib.

benmarwick

# In a terminal... make sure I get the master branch

git clone -b master git://github.com/JuliaLang/julia.git

# needed these on EC2
sudo apt-get update
sudo apt-get install gcc
sudo apt-get install g++
sudo apt-get install gfortran
sudo apt-get install make

jbenet

a simple git branching model (written in 2013)

This is a very simple git workflow. It (and variants) is in use by many people. I settled on it after using it very effectively at Athena. GitHub does something similar; Zach Holman mentioned it in this talk.

Update: Woah, thanks for all the attention. Didn't expect this simple rant to get popular.

jiahao

#Set up data partition
sudo mkdir /data
sudo chmod 777 /data
sudo "echo /dev/xvdb   /data	ext4	rw,user,exec,comment=cloudconfig	0	2 >> /etc/fstab"
sudo mount /data

#Install build environment
sudo sed -i "s/enabled=0/enabled=1" /etc/yum.repos.d/epel.epo
sudo yum -y update
sudo yum -y upgrade

natj

#colorbar
function colorbar(dmin, dmax; orientation="horizontal", colormap=_default_colormap, kvs...)

    if orientation == "vertical"
        p=FramedPlot(aspect_ratio=10.0)
        setattr(p.x, draw_ticks=false)
        setattr(p.y1, draw_ticks=false)
        setattr(p.x1, draw_ticklabels=false)
        setattr(p.y1, draw_ticklabels=false)
        setattr(p.y2, draw_ticklabels=true) 

bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen