buritica

<script>
  var namespace = 'onswipe';
  var message = JSON.stringify({
    view_url: '%%VIEW_URL_UNESC%%',
    click_url: '%%CLICK_URL_UNESC%%%%DEST_URL%%',
    cachebuster: '%%CACHEBUSTER%%',
    glossy_id: 'my_id',
    type: 'glossy',
    pixels: []
  });

paulusm

start on runlevel [2345]
stop on runlevel [016]
 
respawn
setuid <user>
chdir /home/<user>/ipython_notebooks
exec ipython notebook --pylab --profile=nbserver --ipython-dir=/home/<user>/.ipython  --log-level=DEBUG

FrancescAlted

# Benchmark to compare the times for storing numpy arrays in a key-value.
# The main point is to compare numpy serialization vs a bcolz approach.

from __future__ import print_function

import sys
import os
import os.path
import subprocess
import getopt

TomAugspurger

creationix

function run(generator) {
  // Pass in resume for no-wrap function calls
  var iterator = generator(resume);
  var data = null, yielded = false;
  
  next();
  check();
  
  function next(item) {
    var cont = iterator.next(item).value;

ebenolson

# Context manager to generate batches in the background via a process pool
# Usage:
#
# def batch(seed):
#    .... # generate minibatch
#    return minibatch
#
# with BatchGenCM(batch) as bg:
#    minibatch = next(bg)
#    .... # do something with minibatch

d1manson

As of writing, this is only possible with my fork of pandas, but hopefully it will make its way into the main pandas stable branch.

The purpose of the fork is to let you specify a custom html formatter for individual columns in a data frame.

---

In this example we create a formatting function which takes a numpy array and returns a string of the form <img src='--base64-encoded-data'/>. This means that the numpy array is displayed as an image.

Below is the code we use to define our custom format function. Note that the function takes a single element from the data frame and returns and html string::

patricksurry

Based on http://bl.ocks.org/mbostock/899711 which uses D3 to draw elements into a google maps overlay layer, but doesn't use d3.geo machinery to draw map geometry. This gist illustrates how to align a D3 mercator projection with google maps so we can do standard d3 mapping stuff on top of the google API.

bartvm

A comparison of Theano with other deep learning frameworks, highlighting a series of low-level design choices in no particular order.

Overview

Differentiation

Symbolic: Theano, CGT; Automatic: Torch, MXNet

Symbolic and automatic differentiation are often confused or used interchangeably, although their implementations are significantly different.

rainypixels

/*
 Swift Programming Language Guide
 "A Swift Tour" Solutions
 https://developer.apple.com/library/prerelease/ios/documentation/Swift/Conceptual/Swift_Programming_Language/GuidedTour.html#//apple_ref/doc/uid/TP40014097-CH2-XID_1
 
 These are the solutions to all the "experiments" in the pre-release Swift Programming Guide 
 (released on the same day Apple announced Swift). A couple of things worth noting:
 
 1. Swift syntax, e.g. array declarations, has changed since I releasd these. So this code will 
    probably cause some errors when you paste it into a playground. Should be easy enough to fix