endolith

from __future__ import division
from numpy.fft import rfft
from numpy import argmax, mean, diff, log, nonzero
from scipy.signal import blackmanharris, correlate
from time import time
import sys
try:
    import soundfile as sf
except ImportError:
    from scikits.audiolab import flacread

mblondel

# Mathieu Blondel, September 2010
# License: BSD 3 clause

import numpy as np
from numpy import linalg
import cvxopt
import cvxopt.solvers

def linear_kernel(x1, x2):
    return np.dot(x1, x2)

scturtle

#!/usr/bin/env python2
# coding: utf-8

import os,socket,threading,time
#import traceback

allow_delete = False
local_ip = socket.gethostbyname(socket.gethostname())
local_port = 8888
currdir=os.path.abspath('.')

jseabold

# -*- coding: utf-8 -*-
"""
You need to fill in your API key from google below. Note that querying
supported languages is not implemented.

Language Code
-------- ----
Afrikaans 	af
Albanian 	sq
Arabic 	ar

bradmontgomery

Web Scraping Workshop

Using Requests and Beautiful Soup, with the most recent Beautiful Soup 4 docs.

Getting Started

Install our tools (preferably in a new virtualenv):

pip install beautifulsoup4

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

techtonik

# Public Domain, i.e. feel free to copy/paste
# Considered a hack in Python 2

import inspect

def caller_name(skip=2):
    """Get a name of a caller in the format module.class.method
    
       `skip` specifies how many levels of stack to skip while getting caller
       name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.

naaman

#!/usr/bin/env bash
mkdir vim
curl https://s3.amazonaws.com/heroku-vim/vim-7.3.tar.gz --location --silent | tar xz -C vim
export PATH=$PATH:/app/vim/bin

jobliz

import matplotlib
import matplotlib.pyplot as plt

# Iris petal length/width scatterplot (greatest class correlation)
# Dataset: http://archive.ics.uci.edu/ml/datasets/Iris
# Output: https://imgur.com/9TWhn

def data():
    lists = [line.strip().split(",") for line in open('flowerdata.txt', 'r').readlines()]
    return [map(float, l[:4]) for l in lists], [l[-1] for l in lists]

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname