Asad Dhamani dhamaniasad

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=rep1&t

Update HISTORY.md
Commit the changes:

git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."

Update version number (can also be minor or major)

bumpversion patch

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.

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

	Files to replace the annoying ads.html in Micromax 400R mifi router. Thanks to http://motyar.blogspot.in/2013/02/hacking-micromax-400r-mi-fi.html for tips.


	Usage :
	1. Download the files. Make sure you have enabled "Web Sharing" in the administrator page. Factory setting is only usb for this.
	2. Open upload.html in your browser while being connected to your Micromax 400R
	3. Choose ads.html in the form and upload.
	4. See if the response is "ok"
	5. DONE, PROFIT!!!!!

	// Just before switching jobs:
	// Add one of these.
	// Preferably into the same commit where you do a large merge.
	//
	// This started as a tweet with a joke of "C++ pro-tip: #define private public",
	// and then it quickly escalated into more and more evil suggestions.
	// I've tried to capture interesting suggestions here.
	//
	// Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_,
	// @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant,

	# coding=UTF-8
	from __future__ import division
	import re

	# This is a naive text summarization algorithm
	# Created by Shlomi Babluki
	# April, 2013


	class SummaryTool(object):

	13:15 <xQuasar> \| HASKELL IS FOR FUCKIN FAGGOTS. YOU'RE ALL A BUNCH OF
	\| FUCKIN PUSSIES
	13:15 <xQuasar> \| JAVASCRIPT FOR LIFE FAGS
	13:16 <luite> \| hello
	13:16 <ChongLi> \| somebody has a mental illness!
	13:16 <merijn> \| Wow...I suddenly see the error of my ways and feel
	\| compelled to write Node.js!
	13:16 <genisage> \| hi
	13:16 <luite> \| you might be pleased to learn that you can compile
	\| haskell to javascript now

	# you can make a text file of request times (in ms, one number per line) and import it here, or you can use a probability distribution to simulate request times (see below where setting req_durations_in_ms)
	# rq = read.table("~/Downloads/request_times.txt", header=FALSE)$V1

	# argument notes:
	# parallel_router_count is only relevant if router_mode is set to "intelligent"
	# choice_of_two, power_of_two, and unicorn_workers_per_dyno are only relevant if router_mode is set to "naive"
	# you can only select one of choice_of_two, power_of_two, and unicorn_workers_per_dyno

	run_simulation = function(router_mode = "naive",
	reqs_per_minute = 9000,

	Rails as it has never been before :)

	Rails 3 AntiPatterns, Useful snippets and Recommended Refactoring.

	Note: Some of them are collected from different online resources/posts/blogs with some tweaks.