d3.js in IPython 2.0.ipynb

svaksha

#Python/pypy
import math
def smallestdivisall(n):
    for i in xrange(1, math.factorial(n)+1):
        for j in xrange(1, n+1):
            if i % j != 0:
                break
            elif j == n:
                return i
                

dlo

# vim: set ft=python :

from __future__ import print_function

import json
import sys
import datetime

from redis import StrictRedis as Redis

rofinn

@doc doc"""
    Takes a 2d array where each column is a pattern which maps to a row in
    the resulting dataframe. Each pattern index is its own column in 
    the dataframe.
""" ->
function DataFrame(data::Array{Float64, 2})
    m = data'
    result = DataFrame()
    
    for i in 1:size(data, 1)

svaksha

@doc doc"""
    Takes a 2d array where each column is a pattern which maps to a row in
    the resulting dataframe. Each pattern index is its own column in 
    the dataframe.
""" ->
function DataFrame(data::Array{Float64, 2})
    m = data'
    result = DataFrame()
    
    for i in 1:size(data, 1)

svaksha

function query() {
  var 
    total = 0, shown = 0,
    // HN is done with very unsemantic classes.
    job_list = Array.prototype.slice.call(document.querySelectorAll('.c5a,.cae,.c00,.c9c,.cdd,.c73,.c88')),
    query_list = Array.prototype.slice.call(arguments);
    
  // This traverses up the dom stack trying to find a match of a specific class
  function up_to(node, klass) {
    if (node.className === klass) {

svaksha

using HTTPClient: HTTPC
using JSON

# Fill in your city name and GitHub API token
const MEETUP_LOCATION = lowercase("Seattle")
const API_TOKEN = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
# Pages of search results to examine. Warning - you WILL hit the rate limit
const NUM_PAGES = 1

typealias Field Union{AbstractString,Void}

svaksha

#!/bin/bash

# I keep Julia binaries in /opt/julia with the same directory structure
# as ~/.julia to store different versions, and use this script to switch
# between them. I also like to maintain a link of the ~/.julia folder to
# ~/julia, for easier package development.

JBIN=""
PDIR=""

jiahao

/* Experimental typographically tinkered IJulia stylesheet
 * Copyright © 2013 Jiahao Chen <jiahao@mit.edu>
 * MIT License
 *
 * To use, place in ~/.ipython/profile_julia/static/custom/custom.css
 * and refresh IJulia
 * 
 * Based on suggestions from practicaltypography.com
 */

svaksha

Julia Debugging Procedures

So you managed to break Julia. Congratulations! Collected here are some general procedures you can undergo for common symptoms encountered when something goes awry. Including the information from these debugging steps can greatly help the maintainers when tracking down a segfault or trying to figure out why your script is running slower than expected.

If you've been directed to this page, find the symptom that best matches what you're experiencing and follow the instructions to generate the debugging information requested. Table of symptoms:

• Segfaults during bootstrap (sysimg.jl)

• Segfaults when running a script