mayait

from django.views.generic import TemplateView

# Onesignal
# TemplateView will render this files as static content

urlpatterns += [
path('manifest.json', TemplateView.as_view(template_name='onesignal/manifest.json', content_type='application/json')),
path('OneSignalSDKWorker.js', TemplateView.as_view(template_name='onesignal/OneSignalSDKWorker.js', content_type='application/x-javascript')),
path('OneSignalSDKWorker.js', TemplateView.as_view(template_name='onesignal/OneSignalSDKWorker.js', content_type='application/x-javascript')),
]

5agado

ceteri

# using four part files to construct "minitweet"
cat rawtweets/part-0000[1-3] > minitweets

# change log4j properties to WARN to reduce noise during demo
mv conf/log4j.properties.template conf/log4j.properties
vim conf/log4j.properties # Change to WARN

# launch Spark shell REPL
./bin/spark-shell

philandstuff

EuroClojure 2014, Krakow

Fergal Byrne, Clortex: Machine Intelligence based on Jeff Hawkins’ HTM Theory

• @fergbyrne
• HTM = Hierarchical Temporal Memory
• Slides

big data

• big data is like teenage sex
  • noone knows how to do it
  • everyone thinks everyone else is doing it

baali

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
import numpy as np
from itertools import combinations
from random import shuffle

def majorclust_sklearn():    
    texts = [
        "foo blub baz",
        "foo bar baz",

massie

/*
 * Copyright (c) 2013. Regents of the University of California
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

shlomibabluki

# coding=UTF-8
from __future__ import division
import nltk
from collections import Counter

# This is a simple tool for adding automatic hashtags into an article title
# Created by Shlomi Babluki
# Sep, 2013

welch

It is a rite of passage to post one's successful build instructions for OpenCV on a Mac
after you've tried all the other conflicting instructions out there and still failed. 
brew failed for me (was this because I could never get a happy brew doctor situation? 
I'll never know). macports? nope. build-from-source recipes? I didn't find one that 
worked for me.

Here's what did work to build OpenCV 2.4.5 from the distribution tarball using cmake,
on Mac OSX 10.8.4, linked to an anaconda installation rather than the system python. 
It is a mashup of various bits of advice out there. If you're already comfortable with 
build/install from source, all you need to read is the cmake invocation in step 3 and 

brentsimmons

@implementation UITextView (RSExtras)


static BOOL stringCharacterIsAllowedAsPartOfLink(NSString *s) {

    /*[s length] is assumed to be 0 or 1. s may be nil.
     Totally not a strict check.*/

    if (s == nil || [s length] < 1)
        return NO;

shlomibabluki

# coding=UTF-8
from __future__ import division
import re

# This is a naive text summarization algorithm
# Created by Shlomi Babluki
# April, 2013


class SummaryTool(object):