Javier Candeira candeira

HOWTO: Use a DisplayLink USB graphics adapter on Crunchbang Linux v11 Waldorf with partial upgrade to Debian Jessie

I recently was able to get my Diamond-branded DisplayLink USB graphics adapter to work with a system onto which I had freshly installed Crunchbang 11 by:

switching to Debian Jessie repository
blacklisting udlfb kernel mod
messing with xrandr a bit

Upgrading to Jessie

Om and React.js Does It Better

A hopefully short and concise explanation as to how Om/React.js works. This probably isn't for you if you already use ClojureScript or Om.

The front end and JavaScript God known as David Nolen created a ClojureScript library called Om. Om is a front end library that uses React.js and makes web MVC not just obsolete, but an anti-pattern.

In Om there's just the data and the view.

data =>

PSQL

Magic words:

psql -U postgres

Some interesting flags (to see all, use -h or --help depending on your psql version):

-E: will describe the underlaying queries of the \ commands (cool for learning!)
-l: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)

Part 1

Proof of concept

Say, you want to save your D3 application in a CouchDB database. This is just a proof of concept that this is possible. I use the »Focus + Context« diagram by Mike Bostock (http://bl.ocks.org/1667367) as an example.

Prerequisites:

A running CouchDB (see http://couchdb.apache.org/; in my Windows installation CouchDb is started as a Windows service when Windows starts).
An installation of couchapp (how to install couchapp, see http://couchapp.org/page/index).
Your favorite editor.

The Learning Haskell guide has been moved to a git repo to enable outside contribution

Find it here: https://github.com/bitemyapp/learnhaskell

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

This is not intended to be comprehensive or authoritative, just free online resources I've found valuable while learning more about Erlang.

Joe Armstrong's Swedish Institute of Computer Science homepage (Wayback Machine)

https://web.archive.org/web/20070429181654/http://www.sics.se/~joe/

Similar lists

Let's say you have an iOS project, and you want to use some external library, like AFNetworking. How do you integrate it?

With submodules

Add the project to your repo:

git submodule add [email protected]:AFNetworking/AFNetworking.git Vendor/AFNetworking

or something to that effect.

	module Primes where

	open import Level using (_⊔_)
	open import Coinduction
	open import Function
	open import Data.Empty
	open import Data.Unit
	open import Data.Nat
	open import Data.Nat.Properties
	open import Data.Nat.Divisibility

	# Copyright David Kendal, 2013
	# You may redistribute this code, modified or unmodified, provided that this article is preserved in its entirety.
	# Like all software, and information generally, this work is without warranty.

	import inspect

	# "if isscript():" is "if __name__ is '__main__':"
	def isscript(frames=1):
	callers = inspect.getouterframes(inspect.currentframe())
	return callers[frames][0].f_globals['__name__'] == '__main__'