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

potiuk

require 'formula'

class Libmemcached < Formula
  homepage 'http://libmemcached.org'
  url 'https://launchpad.net/libmemcached/1.0/1.0.17/+download/libmemcached-1.0.17.tar.gz'
  sha1 '1023bc8c738b1f5b8ea2cd16d709ec6b47c3efa8'

  depends_on 'memcached'

  def install

nodesocket

/* Flatten das boostrap */
.well, .navbar-inner, .popover, .btn, .tooltip, input, select, textarea, pre, .progress, .modal, .add-on, .alert, .table-bordered, .nav>.active>a, .dropdown-menu, .tooltip-inner, .badge, .label, .img-polaroid {
 	-moz-box-shadow: none !important;
	-webkit-box-shadow: none !important;
	box-shadow: none !important;
	-webkit-border-radius: 0px !important;
	-moz-border-radius: 0px !important;
	border-radius: 0px !important;
	border-collapse: collapse !important;
	background-image: none !important;

dypsilon

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

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mvsantos

# Requires ImageMagick


# Converting the source from JPEG to PNG - if necessary
convert my_src_image.jpg my_src_image.png


# Option A
#  - Requires a temporary intermediate file
#  - Drill more than 10 might result in poor results

dmarx

import praw # simple interface to the reddit API, also handles rate limiting of requests
import re
from collections import deque 
from time import sleep

USERNAME  = "Your username here"
PASSWORD  = "Your password here"
USERAGENT = "Your useragent string here. It should include your /u/username as a courtesy to reddit"

r = praw.Reddit(USERAGENT)

sspross

Serving Django and Twisted using HAproxy

Why?

Because we wanted to achive the following while developing a webapp using websockets:

Static serving (nginx), Django application (gunicorn) and Websockets service (twisted)

• on the same IP

larsbutler

#!/usr/bin/env python
import sys
from celery.task.control import inspect

def ping_celery():
    ins = inspect()

    # Count the number of total worker processes
    total_workers = 0
    # ... and active tasks

tomhennigan

from delegates import DelegateProviderMixin, notify_delegates

class Something(DelegateProviderMixin):

    @notify_delegates
    def do_something(self):
        print 'do_something'

    def do_something_else(self):
        print 'do_something_else'

econchick

class Graph:
  def __init__(self):
    self.nodes = set()
    self.edges = defaultdict(list)
    self.distances = {}

  def add_node(self, value):
    self.nodes.add(value)

  def add_edge(self, from_node, to_node, distance):