ocramz

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

ocramz

{-# LANGUAGE DeriveFunctor, TypeFamilies #-}
module Success
  ( Parser(..)
  , parse
  ) where

import Control.Applicative
import Control.Monad
import Data.Bifunctor
import Data.Profunctor

ocramz

$ sudo easy_install pymc
Password:
Searching for pymc
Reading http://pypi.python.org/simple/pymc/
Best match: pymc 2.3.3
Downloading https://pypi.python.org/packages/source/p/pymc/pymc-2.3.3.tar.gz#md5=99645bf558a41376be0e687ccf90a39f
Processing pymc-2.3.3.tar.gz
Running pymc-2.3.3/setup.py -q bdist_egg --dist-dir /tmp/easy_install-ef6ul2/pymc-2.3.3/egg-dist-tmp-VEL4jG
IOError: [Errno 2] No such file or directory: 'skip:ppnd7'. Skipping file "skip:ppnd7".
Reading fortran codes...

ocramz

module Main where
import Control.Monad
import Text.ParserCombinators.Parsec hiding (spaces)
import System.Environment
import Control.Monad.Error

data LispVal = Atom String
             | List [LispVal]
             | DottedList [LispVal] LispVal
             | Number Integer