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

branneman

Better local require() paths for Node.js

Problem

When the directory structure of your Node.js application (not library!) has some depth, you end up with a lot of annoying relative paths in your require calls like:

const Article = require('../../../../app/models/article');

Those suck for maintenance and they're ugly.

Possible solutions

JanJakes

Ubuntu with Nginx, uWSGI & Node.js and it's deployment

This Gist contains instructions to setup Ubuntu server with Nginx, uWSGI & Node.js with that can serve for any Python apps (Django for instance) and will allow it's automatized deployment.

The content is as follows:

• 01-ubuntu.md – A basic Ubuntu server setup.
• 02-nginx-uwsgi-nodejs.md – Nginx, uWSGI and Node.js installation and setup.
• 03-deployment.md – A server setup for automatized deployment.
• 04-mariadb.md – Mariadb installation and setup.

reuk

void drawFolder(int sides, float rad) {
  float ang = (frameCount * 2 * PI * 0.05) / sides;
  
  PVector maxy = new PVector(0, 0);
  
  PVector[] v = new PVector[sides];
  
  for (int i = 0; i != v.length; ++i) {
    float angle = ((2 * PI * i) / sides) + ang;
    float x = sin(angle) * rad;

reuk

void setup() {
  size(500, 500, P3D);
  frameRate(25);
  blendMode(ADD);
  ortho();
}

void draw() {
  background(0);
  noFill();

macintux

• https://ferd.ca/a-distributed-systems-reading-list.html
• http://the-paper-trail.org/blog/distributed-systems-theory-for-the-distributed-systems-engineer/
• https://github.com/palvaro/CMPS290S-Winter16/blob/master/readings.md
• http://muratbuffalo.blogspot.com/2015/12/my-distributed-systems-seminars-reading.html
• http://christophermeiklejohn.com/distributed/systems/2013/07/12/readings-in-distributed-systems.html
• http://michaelrbernste.in/2013/11/06/distributed-systems-archaeology-works-cited.html
• http://rxin.github.io/db-readings/
• http://research.microsoft.com/en-us/um/people/lamport/pubs/pubs.html
• http://pdos.csail.mit.edu/dsrg/papers/
• http://scalingsystems.com/2011/09/07/reading-list-for-distributed-systems/

badsyntax

#!/usr/bin/env bash
#
# Approach:
# 1. Find variable declaration in the form of "$my-var: anyvalue"
# 2. Loop through found variables and find occurrences of each variable in all sass files
# 3. Filter out vars that occurred only once

if [ -z "$1" ]; then
	echo "Please specify a directory as the first argument."
	exit 1

ngocphamm

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Scaling Twitter: Making Twitter 10000 Percent Faster
• Scaling Twitter
• Blaine Cook on Scaling Twitter - YouTube

matta971

http://www.unheap.com/

willurd

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