Oleg Lavrovsky loleg

## couchdb
# Install from Source - at this time ubuntu's universe only install version 0.8 using sudo aptitude install couchdb so we have to install from source version 0.9*
# IMPORTANT: Couchdb is a pain in the ass to install on ubuntu hardy. Hopefully, you used Jaunty. There is an erlang package issue.

# Install dependencies
sudo apt-get install automake autoconf libtool subversion-tools help2man
sudo apt-get install build-essential erlang libicu38 libicu-dev
sudo apt-get install libreadline5-dev checkinstall libmozjs-dev wget
sudo apt-get install libcurl4-openssl-dev

# Get Couchdb

## gist:2199506

      
              1 file
            
          
              32 forks
            
          
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              432 stars
            
          
                datagrok
                / gist:2199506
            
            
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                Virtualenv's `bin/activate` is Doing It Wrong
              
          
    This article is now published on my website: Prefer Subshells for Context.

  
## posa.mkdn

      
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                EtherCalc Chapter for the upcoming book "The Performance of Open Source Applications" - Draft - comments welcome!
              
          
    From SocialCalc to EtherCalc

Previously, in The Architecture of Open Source Applications, I described SocialCalc, an in-browser spreadsheet system that replaced the server-centric WikiCalc architecture. SocialCalc performs all of its computations in the browser; it uses the server only for loading and saving spreadsheets.
For the Socialtext team, performance was the primary goal behind SocialCalc's design in 2006. The key observation was this: Client-side computation in JavaScript, while an order of magnitude slower than server-side computation in Perl, was still much faster than the network latency incurred during AJAX roundtrips:


******

  
## frontendDevlopmentBookmarks.md

      
              1 file
            
          
              1098 forks
            
          
              124 comments
            
          
              4957 stars
            
          
                dypsilon
                / frontendDevlopmentBookmarks.md
            
            
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                A badass list of frontend development resources I collected over time.
              
          
    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.


## feedly_api.md

      
              1 file
            
          
              13 forks
            
          
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                Unofficial Feedly API Document
              
          
    IDs


user_id - user/:uid
feed_id - feed/:feed_uri
category_id - :user_id/category/:category
(special category: global.all, global.uncategorized)
tag_id - :user_id/tag/:tag
(special tag: global.saved)

APIs

http://cloud.feedly.com/:version/:api

  
## pre-render.js
// pre-render d3 charts at server side
var d3 = require('d3')
	, jsdom = require('jsdom')
	, fs = require('fs')
	, htmlStub = '<html><head></head><body><div id="dataviz-container"></div><script src="js/d3.v3.min.js"></script></body></html>'

jsdom.env({
	features : { QuerySelector : true }
	, html : htmlStub
	, done : function(errors, window) {

## gist:8172796

      
              1 file
            
          
              403 forks
            
          
              23 comments
            
          
              1642 stars
            
          
                debasishg
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                A collection of links for streaming algorithms and data structures
              
          
    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&amp;rep=rep1&amp;t


## pelican_deployer.py
"""
Simple web server that listens for Github webhooks to implement push-to-deploy
with Pelican static sites

Settings are loaded from a json file except for SECRET which should be an
environment variable

Example `deployer.json`

{

## Bubbles - datapackages demo.py
# Demo:
#
# Aggregate population per independence type for every year
# Sources: Population and Country Codes datasets
#

from bubbles import Pipeline

# List of stores with datasets. In this example we are using the "datapackage"
# store

## scrapper.py
import asyncio
import aiohttp
import bs4
import tqdm


@asyncio.coroutine
def get(*args, **kwargs):
    response = yield from aiohttp.request('GET', *args, **kwargs)
    return (yield from response.read_and_close(decode=True))
	# Install from Source - at this time ubuntu's universe only install version 0.8 using sudo aptitude install couchdb so we have to install from source version 0.9*
	# IMPORTANT: Couchdb is a pain in the ass to install on ubuntu hardy. Hopefully, you used Jaunty. There is an erlang package issue.

	# Install dependencies
	sudo apt-get install automake autoconf libtool subversion-tools help2man
	sudo apt-get install build-essential erlang libicu38 libicu-dev
	sudo apt-get install libreadline5-dev checkinstall libmozjs-dev wget
	sudo apt-get install libcurl4-openssl-dev

	# Get Couchdb
	// pre-render d3 charts at server side
	var d3 = require('d3')
	, jsdom = require('jsdom')
	, fs = require('fs')
	, htmlStub = '<html><head></head><body><div id="dataviz-container"></div><script src="js/d3.v3.min.js"></script></body></html>'

	jsdom.env({
	features : { QuerySelector : true }
	, html : htmlStub
	, done : function(errors, window) {
	"""
	Simple web server that listens for Github webhooks to implement push-to-deploy
	with Pelican static sites

	Settings are loaded from a json file except for SECRET which should be an
	environment variable

	Example `deployer.json`

	{
	# Demo:
	#
	# Aggregate population per independence type for every year
	# Sources: Population and Country Codes datasets
	#

	from bubbles import Pipeline

	# List of stores with datasets. In this example we are using the "datapackage"
	# store
	import asyncio
	import aiohttp
	import bs4
	import tqdm


	@asyncio.coroutine
	def get(args, *kwargs):
	response = yield from aiohttp.request('GET', args, *kwargs)
	return (yield from response.read_and_close(decode=True))