Olalekan Fuad Elesin OElesin

Squashing Git Commits

The easy and flexible way

This method avoids merge conflicts if you have periodically pulled master into your branch. It also gives you the opportunity to squash into more than 1 commit, or to re-arrange your code into completely different commits (e.g. if you ended up working on three different features but the commits were not consecutive).

Note: You cannot use this method if you intend to open a pull request to merge your feature branch. This method requires committing directly to master.

Switch to the master branch and make sure you are up to date:

Sendy

Sendy is a self hosted email newsletter application that lets you send trackable emails via Amazon Simple Email Service (SES).

Heroku

You can deploy Sendy on Heroku using the following instructions (I assume you've already installed the heroku toolbelt).

On Heroku, create a new app.
Clone that app to your desktop

General Background and Overview

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

	from bs4 import BeautifulSoup
	import re
	from urllib.parse import unquote
	import time
	import boto3, json, os

	import requests
	from bs4 import BeautifulSoup
	s3 = boto3.client('s3')

	from time import sleep, time
	from picamera import PiCamera
	from datetime import datetime, timedelta
	from boto3 import client
	import json
	import os

	firehose = client('firehose')
	lookout_vision = client('lookoutvision')

	import java.io.{File, FileOutputStream, IOException, InputStream}
	import java.util

	import scala.collection.JavaConverters._
	import org.xml.sax.{ContentHandler, SAXException}
	import org.apache.tika.metadata.Metadata
	import org.apache.tika.metadata.HttpHeaders.CONTENT_TYPE
	import org.apache.tika.mime.MediaType
	import org.apache.tika.parser.{AbstractParser, ParseContext}
	import org.apache.commons.io.IOUtils

	def avgTime(message: String, f: => Any) {
	var avg = 0L
	val c = 42
	1 to c foreach {
	_ =>
	val t0 = System.nanoTime()
	f
	val t1 = System.nanoTime()
	avg += t1 - t0
	}

	/* Adapted from Tom Cunningham's 'Data Warehousing with MySql' (www.meansandends.com/mysql-data-warehouse) */

	###### small-numbers table
	DROP TABLE IF EXISTS numbers_small;
	CREATE TABLE numbers_small (number INT);
	INSERT INTO numbers_small VALUES (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);

	###### main numbers table
	DROP TABLE IF EXISTS numbers;
	CREATE TABLE numbers (number BIGINT);

	<?php
	/* Caveat: I'm not a PHP programmer, so this may or may
	* not be the most idiomatic code...
	*
	* FPDF is a free PHP library for creating PDFs:
	* http://www.fpdf.org/
	*/
	require("fpdf.php");

	class PDF extends FPDF {