| #!/usr/bin/env python | |
| """ | |
| Check that a particular email address exists. | |
| Adam Blinkinsop <blinks@acm.org> | |
| WARNING: | |
| Checking email addresses in this way is not recommended, and will lead to | |
| your site being listed in RBLs as a source of abusive traffic. Mail server | |
| admins do like it when they get connections that don't result in email being | |
| sent, because spammers often use this technique to verify email addresses. |
| #!/usr/bin/python | |
| """ | |
| Run python checkerboards.py | |
| Example from: | |
| M. Hein (2009). Binary Classification under Sample Selection Bias, In Dataset Shift in Machine Learning, chap. 3, pp. 41-64. The MIT Press. | |
| """ | |
| from __future__ import division | |
| import matplotlib |
| #Code to re-create John Hussman's Recession warning index | |
| #http://www.hussmanfunds.com/wmc/wmc110801.htm | |
| #R code by Zach Mayer | |
| rm(list = ls(all = TRUE)) #CLEAR WORKSPACE | |
| library(quantmod) | |
| ################################################# | |
| # 1. Credit spreads | |
| ################################################# |
| cor(iris[-5]) | |
| pairs(iris[-5], bg=iris$Species, pch=21) |
| DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE | |
| Version 2, December 2004 | |
| Copyright (C) 2011 Mathieu 'p01' Henri - http://www.p01.org/releases/ | |
| Everyone is permitted to copy and distribute verbatim or modified | |
| copies of this license document, and changing it is allowed as long | |
| as the name is changed. | |
| DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE |
| #~/.mutt/aliases | |
| alias nick Nicholas Levandoski <nick.levandoski@auglug.org> | |
| alias tim Timothy Pitt <timothy.pitt@auglug.org> | |
| alias steven Steven Jackson <sjackson@auglug.org> | |
| alias kaleb Kaleb Hornsby <kaleb.hornsby@auglug.org> | |
| alias alug-admin nick, tim, steven |
| # coding: utf-8 | |
| """Online learning.""" | |
| import numpy as np | |
| from numpy import sign | |
| import itertools as it | |
| from numpy import array as A, zeros as Z | |
| import math |
| # Copyright Mathieu Blondel December 2011 | |
| # License: BSD 3 clause | |
| import numpy as np | |
| import pylab as pl | |
| from sklearn.base import BaseEstimator | |
| from sklearn.utils import check_random_state | |
| from sklearn.cluster import MiniBatchKMeans | |
| from sklearn.cluster import KMeans as KMeansGood |
Objective: Print the lyrics for the current playing song.
How: We'll create a small bash script to do the fetching for us (using curl) and then we'll
display it either in the terminal or in our $EDITOR
First we'll need to get the name of the current song and its artist:
