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

takikawa

#lang racket

;; Persistent union-find from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.8494

(define-signature persistent-array^
  (init get set))

(define-signature union-find^
  (create find union))

kuenishi

BEAM

assemble

$ erlc -S test.erl

glacjay

import _winreg as reg
import win32file


adapter_key = r'SYSTEM\CurrentControlSet\Control\Class\{4D36E972-E325-11CE-BFC1-08002BE10318}'


def get_device_guid():
    with reg.OpenKey(reg.HKEY_LOCAL_MACHINE, adapter_key) as adapters:
        try:

glacjay

import os
import subprocess


# Open file corresponding to the TUN device.
tun = open('/dev/tun0', 'r+b')

# Bring it up and assign addresses.
subprocess.check_call('ifconfig tun0 192.168.7.1 192.168.7.2 up', shell=True)

glacjay

import fcntl
import os
import struct
import subprocess


# Some constants used to ioctl the device file. I got them by a simple C
# program.
TUNSETIFF = 0x400454ca
TUNSETOWNER = TUNSETIFF + 2