irgeek

#!/bin/sh
BOOT2DOCKER_CERTS_DIR=/var/lib/boot2docker/certs
CERTS_DIR=/etc/ssl/certs
CAFILE=${CERTS_DIR}/ca-certificates.crt

for cert in $(/bin/ls -1 ${BOOT2DOCKER_CERTS_DIR}); do
    SRC_CERT_FILE=${BOOT2DOCKER_CERTS_DIR}/${cert}
    CERT_FILE=${CERTS_DIR}/${cert}
    HASH_FILE=${CERTS_DIR}/$(/usr/local/bin/openssl x509 -noout -hash -in ${SRC_CERT_FILE} 2>/dev/null)

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

jaredks

from collections import OrderedDict as _OrderedDict
try:
    from thread import get_ident as _get_ident
except ImportError:
    from dummy_thread import get_ident as _get_ident


class ListDict(_OrderedDict):
    def __init__(self, *args, **kwds):
        try:

havvg

jQuery(function($) {
    $('form[data-async]').live('submit', function(event) {
        var $form = $(this);
        var $target = $($form.attr('data-target'));

        $.ajax({
            type: $form.attr('method'),
            url: $form.attr('action'),
            data: $form.serialize(),

ssbarnea

#!/usr/bin/env python
import sys, os, time, platform

sample_ansi = '\x1b[31mRED' + '\x1b[33mYELLOW' +  '\x1b[32mGREEN' + '\x1b[35mPINK' + '\x1b[0m' + '\n'


for handle in [sys.stdout, sys.stderr]:
    if (hasattr(handle, "isatty") and handle.isatty()) or \
        ('TERM' in os.environ and os.environ['TERM']=='ANSI'):
        if platform.system()=='Windows' and not ('TERM' in os.environ and os.environ['TERM']=='ANSI'):

hartym

"""

Welcome to "what better thing to do than coding a web app while drinking my 
morning coffee"-framework.

It show how easy it is to code a standalone/state-of-the-art mini web application 
using python, and some amazing libraries available around.

Disclaimer
----------