- 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=rep1&t
#encoding: utf-8 | |
module M3nd3s | |
def me_ajuda! | |
"NÃO" | |
end | |
end |
# to generate your dhparam.pem file, run in the terminal | |
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048 |
Attention: the list was moved to
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#!/usr/bin/env bash | |
if [[ ! -f "$1" ]]; then | |
echo "=> Movie file not found" | |
exit 1 | |
fi | |
tempfile=/tmp/output.gif | |
rm -f $tempfile |
http://www.bredemeyer.com/links.htm
http://perfwork.wordpress.com/
http://blog.8thlight.com/uncle-bob/2012/08/13/the-clean-architecture.html
http://en.wikipedia.org/wiki/4%2B1_architectural_view_model
http://epf.eclipse.org/wikis/openup/core.tech.common.extend_supp/guidances/examples/four_plus_one_view_of_arch_9A93ACE5.html
Locate the section for your github remote in the .git/config
file. It looks like this:
[remote "origin"]
fetch = +refs/heads/*:refs/remotes/origin/*
url = [email protected]:joyent/node.git
Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/*
to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:
This is a simple python program that streams tweets from 2 locations, London and Exeter, in our example, and compares which one has the greatest number of spelling mistakes.
1 – Set-up used:
*Ubuntu 11.04 Natty AMD64
*Python 2.7.3
*python re library
*python nltk 2.0 library and the required NumPy and PyYaml (For NLP tasks)
*python tweeterstream 1.1.1 library (For Tweeter Manipulation)