rahul8590

1. 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

rahul8590

xl = {0:0.329,4:0.632,6:0.795,8:0.917,10:0.981}
sum = []
for n in range(1,21):
 a1 = xl[4]**n - xl[0]**n
 a2 = xl[6]**n - xl[4]**n
 a3 = xl[8]**n - xl[6]**n
 a4 = xl[10]**n - xl[8]**n
 a5 =  1 - xl[10]**n
 print "the intermediate values are " ,a1,a2,a3,a4,a5
 sum.append(a1*0 + a2*1 + a3*2 + a4*5.5 + a5*11)

rahul8590

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

rahul8590

var Hapi = require('hapi');

// Create a server with a host and port
var server = Hapi.createServer('localhost', 8000);

server.route([
    
    {
	method: 'GET',
    path: '/{path*}',

rahul8590

#include<iostream>
#include <cmath>
  int main()
  {
    const int size = 256;
    double sinTable[size];
   
    #pragma omp parallel 
   {
	printf("hello\n");

rahul8590

#sl is a sample list of numbers which is contiguously getting updated.

import random

def simple_sample(sl):
   for x,y in enumerate(sl,1):
      if random.random() < 1.0 / x:
         sample_data = y

   return sample_data

rahul8590

#Run will execute the run function on scale.cpp 

from ctypes import cdll
lib = cdll.LoadLibrary('./libscale.so')
class Foo(object):
    def __init__(self):
        self.obj = lib.Foo_new()
    def run(self):
        lib.Foo_run(self.obj)
f = Foo()

rahul8590

#include <boost/asio.hpp> 
#include <boost/thread.hpp> 
#include <iostream> 





class Foo {
	

rahul8590

// You also need to link pthread and boost_system in order to run it. The following will be the command , if you are too lazy to 
// type
// $ g++ sample_asio.cpp -o asio -lpthread -lboost_system
// 

#include <boost/asio.hpp> 
#include <iostream> 

using namespace std;

rahul8590

""" This Small snippet will list the set of functions present in the module 
__doc__
__file__
__name__
__package__ 

information about the module.
Hello module used in here is a simple py file for Bottle framework. 
"""