turnersr

class RunningStat(object):
    """ 
    Based on ideas presented in
    1. Numerically Stable, Single-Pass, Parallel Statistics Algorithms - http://www.janinebennett.org/index_files/ParallelStatisticsAlgorithms.pdf
    2. Accurately computing running variance - http://www.johndcook.com/standard_deviation.html 
    """ 
    
    def __init__(self):
        self.m_n = 0
        self.m_oldM = 0

pjobson

Removal of McAfee from OSX

Note: This was written in 2015, it may be out of date now.

There are a lot of commands here which I use sudo if you don't know what you're doing with sudo, especially where I rm you can severely screw up your system.

There are many reasons which you would want to remove a piece of software such as McAfee, such as not wanting it to hammer your CPU during work hours which seems like primetime for a virus scan.

I intend this to be a living document, I have included suggestions from peoples' replies.

lelandbatey

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

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