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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

pyk

#include <stdio.h>

int
main()
{
    /* character */
    char a;
    a = 's';
    printf("char a\t= %c\n", a);

pyk

This is bunch of vim tips that I gather from the internet.

Project-specific configuration

" forces vim to source .vimrc file if it present in working directory
set exrc
" restrict usage of some commands in non-default .vimrc files
set secure

Navigate source code

pyk

#include <stdio.h>

long long fib(long long n);
long long fibs[100];

long long
main()
{
    long long i;

pyk

#include <stdio.h>
#include <math.h>

int
main()
{
    int n;

    for(n = 1; n < 10000; n++) {
        if((8*pow(n,2)) < (64*n*log(n))) {

pyk

/* compile: gcc -o insertion-sort insertion-sort.c */
#include <stdio.h>

int
main()
{
    int i;
    int A[6] = {5, 2, 4, 6, 1, 3};

    for(i = 1; i < 6; i++) {

pyk

package main

import (
	"fmt"
)

type A struct {
	name string
	s    []string
}

pyk

#include <stdio.h>
#include <stdlib.h>
#include <string.h>

void create_failure_fn(char *p, int lenp, int table[]);
int search_kmp(char *s, int lens, char *p, int lenp, int table[]);

int
main()
{

pyk

Make it real

Ideas are cheap. Make a prototype, sketch a CLI session, draw a wireframe. Discuss around concrete examples, not hand-waving abstractions. Don't say you did something, provide a URL that proves it.

Ship it

Nothing is real until it's being used by a real user. This doesn't mean you make a prototype in the morning and blog about it in the evening. It means you find one person you believe your product will help and try to get them to use it.

Do it with style

pyk