damianavila

"""
Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ]
Modified from remove_output by Minrk

"""
import sys
import io
import os
from IPython.nbformat.current import read, write

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

MrTrustor

#!/bin/bash

# Copyright 2017 Théo Chamley
# Permission is hereby granted, free of charge, to any person obtaining a copy of 
# this software and associated documentation files (the "Software"), to deal in the Software
# without restriction, including without limitation the rights to use, copy, modify, merge,
# publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons
# to whom the Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all copies or

wckdouglas

Computing environment setup guide for chromebooks

Douglas Wu

---

This is a note for myself to setup a developer environment on chromebook without using crouton (Running Linux GUI on chromeOS). I chose chromebrew since it is just a CLI interface and doesn't require running anything on top of any apps. And I am also a fan of miniconda, which works well on the linux kernal of ChromeOS.

1. Get into developer mode, go to terminal and enter shell.

2. Install chromebrew:

mrocklin

bollwyvl

josephholsten

#!/usr/bin/env ruby -w
# fix_ovf: convert virtualbox ovf documents to work with vmware
# Usage: fix_ovf < vbox.ovf > vmware.ovf

require 'nokogiri'

class OVFDocument < Nokogiri::XML::Document
  XMLNS = {
    'rasd' => "http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/CIM_ResourceAllocationSettingData",
    'vssd' => "http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/CIM_VirtualSystemSettingData",

bkreider

import ssl
import boto
import socket

GOOD_CERT="/opt/anaconda/lib/python2.7/site-packages/requests/cacert.pem"
BAD_CERT="/opt/anaconda/lib/python2.7/site-packages/boto/cacerts/cacerts.txt"

HOST="ec2.us-west-1.amazonaws.com"
PORT=443

bkreider

#!/bin/bash
#
# remote ipython: 
# 
# This starts a remote ipython kernel.  Downloads the kernel connection file,
# and starts a local ipython console connected to the remote machine.
#
# Features:
#   - Automatically starts remote kernel
#   - Copies remote file into ~/.ripython/<hostname.json>