bjorgvino

Remove osxfuse if installed via homebrew:
> brew uninstall osxfuse

Install osxfuse binary and choose to install the MacFUSE compatibility layer:
http://sourceforge.net/projects/osxfuse/files/latest/download?source=files

Reboot (optional but recommended by osxfuse)

Install ntfs-3g via homebrew:
> brew update && brew install ntfs-3g

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

gist:10956729

# net
net.core.rmem_max = 8388608
net.core.wmem_max = 8388608
net.core.rmem_default = 278528
net.core.wmem_default = 278528
net.core.netdev_max_backlog = 1500
net.ipv4.tcp_rmem = 4096 87380 8388608
net.ipv4.tcp_wmem = 4096 65536 8388608
net.ipv4.tcp_mem = 8388608 8388608 8388608
net.ipv4.tcp_no_metrics_save = 1

revskill10

 /** @jsx React.DOM */

 var LopMonHoc = React.createClass({
 	getInitialState: function(){
 		return {data: []}
 	},
 	loadData: function(){
 		$.ajax({
 			url: '/daotao/lops',
 			success: function(data){

schlamar

import logging
import multiprocessing
import time

import mplog

FORMAT = '%(asctime)s - %(processName)s - %(levelname)s - %(message)s'
logging.basicConfig(level=logging.DEBUG, format=FORMAT)
existing_logger = logging.getLogger('x')

sloria

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

AlexandreAbraham

""" Unsupervised evaluation metrics. """

# License: BSD Style.

from itertools import combinations
import numpy as np

from sklearn.utils import check_random_state
from sklearn.metrics.pairwise import distance_metrics
from sklearn.metrics.pairwise import pairwise_distances

adharris

package main

import (
	"database/sql"
	"errors"
	"fmt"
	_ "github.com/bmizerany/pq"
	"os"
	"regexp"
	"strings"

microo8

#include <assert.h>
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_statistics.h>
#include <gsl/gsl_eigen.h>
#include <gsl/gsl_blas.h>

gsl_matrix* pca(const gsl_matrix* data, unsigned int L)
{
    /*
    @param data - matrix of data vectors, MxN matrix, each column is a data vector, M - dimension, N - data vector count

ummels

% Copyright (c) 2010 Michael Ummels <michael@ummels.de>
%
% Permission to use, copy, modify, and/or distribute this software for any
% purpose with or without fee is hereby granted, provided that the above
% copyright notice and this permission notice appear in all copies.
%
% THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
% WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
% MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
% ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES