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=""

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

# Fortran-like array with arbitrary starting indices
#
# usage:
#
# julia> include("FArray.jl")
# size (generic function with 51 methods)
# 
# julia> y = FArray(Float64, -1:1, -7:7, -128:512, -5:5, -1:1, -3:3, -2:2, -1:1);
# 
# julia> y[-1,-7,-128,-5,-1,-3,-2,-1] = 14

svaksha

// takes arguments and produces an array of functions that accept context
function handle_args() {
  var args = Array.prototype.slice.call(arguments);
  return args.map(function(arg) {
    if(arg instanceof Function) return arg; // Presumably already a contex-accepting function.
    if(arg instanceof Array) return and.apply(this, arg); // make arrays behave as and.
    // Presuming a string, build a function to check.
    var my_regex = new RegExp(arg.toString(), 'i');
    return function(context) {
      return context.search(my_regex) > -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

On Ubuntu14-04-LTS, using git-master `f3217a8d123e51f534` 2015-08-17, julia throws this error: 

स्वक्ष@ilak:~/julia$ ju
signal (11): Segmentation fault
unknown function (ip: 0x7f35398dca3b)
unknown function (ip: 0x7f35398dcd84)
jl_restore_incremental at /usr/bin/../lib/x86_64-linux-gnu/julia/libjulia.so (unknown line)
_require_from_serialized at loading.jl:72
jlcall__require_from_serialized_20926 at  (unknown line)
jl_apply_generic at /usr/bin/../lib/x86_64-linux-gnu/julia/libjulia.so (unknown line)

svaksha

2015-07-20:CEST:11:13:24 [Users #pydiversity]
2015-07-20:CEST:11:13:24 [ __love__] [ cwarner] [ svaksha] [ treyhunner] [ willingc_] 
2015-07-20:CEST:11:13:24 -!- Irssi: #pydiversity: Total of 5 nicks [0 ops, 0 halfops, 0 voices, 5 normal]
2015-07-20:CEST:11:13:25 -!- mode/#pydiversity [+o svaksha] by ChanServ
2015-07-20:CEST:11:14:14 -!- Channel #pydiversity created Mon Aug  4 20:45:27 2014
2015-07-20:CEST:11:16:25 -!- Irssi: Join to #pydiversity was synced in 212 secs
Day changed to 21 juil. 2015
2015-07-21:CEST:21:55:02 < __love__> kushal: ping
2015-07-21:CEST:21:55:12 < kushal> __love__, hello
2015-07-21:CEST:21:56:03 < kushal> __love__, How are you?

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

svaksha