kpykc

% FontAwesome (http://fortawesome.github.com/Font-Awesome/) bindings for (Xe)LaTeX
% Author: Honza Ustohal <[email protected]>
%
% Translation of FontAwesome's private range characters into XeTeX symbols. All icons are camel-cased and prefixed with 'fa', i.e. what was .icon-align-center the CSS version of FontAwesome becomes \faAlignCenter
% This might be reworked into a full blown package in the near future
%
% Prerequisite:
% XeLaTeX, FontAwesome installed as a system font accessible by XeLaTeX
%
% Usage:

kpykc

#include <png.h>
#include <vector>
#include <iostream>
#include <stdlib.h>

//encode and write PNG to memory (std::vector) with libpng on C++

typedef unsigned char ui8;
#define ASSERT_EX(cond, error_message) do { if (!(cond)) { std::cerr << error_message; exit(1);} } while(0)

kpykc

notify <- function(msg="Operation complete") {

  in.osx <- (Sys.info()['sysname'] == "Darwin")
  in.rstudio <- (Sys.getenv("RSTUDIO") == "1")
  in.rgui <- (Sys.getenv("R_GUI_APP_REVISION") != "")
  
  if (in.rstudio) { # hack to see if running in RStudio
    title <- "RStudio"
    sender <- activate <- "org.rstudio.RStudio"
  }

kpykc

Setup lisp with slime on OS X

Install your favorite lisp interpreter

If you already have Homebrew, just open a terminal and type

$ brew install clozure-cl

kpykc

kpykc

{
 "metadata": {
  "name": "Ruse Integration"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

kpykc

# Docker container that spins up a Jupyter notebook server
# with CUDA accelerated Theano support. Assumes the host
# system has CUDA drivers installed that match the version below.
#
# Launch with a comman line similar to the following:
#
# docker run -it \
#   --device /dev/nvidiactl --device /dev/nvidia-uvm --device /dev/nvidia0
#   -p 8888:8888
#   -v /[where notebooks are on your local machine]:/notebooks

kpykc

# To be placed in /etc/init/ with 644 permissions
start on filesystem or runlevel [2345]
stop on shutdown

description "Jupyter / IPython Notebook Upstart script for Jetson TK-1"

script  
    export HOME="/home/ubuntu"; cd $HOME
    export PATH=/usr/local/cuda-6.5/bin:$PATH
    export LD_LIBRARY_PATH=/usr/local/cuda-6.5/lib:$LD_LIBRARY_PATH

kpykc

##### Install a lot of stuff first #####

$sudo apt-get update

##install python 
$ wget http://09c8d0b2229f813c1b93-c95ac804525aac4b6dba79b00b39d1d3.r79.cf1.rackcdn.com/Anaconda-2.0.1-Linux-x86_64.sh
$ sudo bash anaconda........sh
 
##install necessary libs
$ sudo apt-get install -y python-matplotlib python-tornado ipython ipython-notebook python-setuptools python-pip

kpykc

import zmq
import time
from multiprocessing import Process
import numpy as np

np.set_printoptions(precision=3)

def send_array(socket, A, flags=0, copy=True, track=False):
    """send a numpy array with metadata"""
    md = dict(dtype=str(A.dtype), shape=A.shape)