ttscoff

#!/usr/bin/env ruby -rjcode -Ku
# TaskPaper to Markdown converter
# Usage: tp2md.rb filename.taskpaper > output.md
require 'ftools'

infile = ARGV[0]
title = File.basename(infile,'.taskpaper').upcase
output = "# #{title} #\n\n"
prevlevel = 0
begin

vsajip

#
# Copyright (C) 2010-2012 Vinay Sajip. All rights reserved. Licensed under the new BSD license.
#
import ctypes
import logging
import os

class ColorizingStreamHandler(logging.StreamHandler):
    # color names to indices
    color_map = {

huyng

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

coordt

#!/usr/bin/env python
"""
Use pip to get a list of local packages to check against one or more package
indexes for updated versions.
"""
import pip
import sys, xmlrpclib
from cStringIO import StringIO
from distutils.version import StrictVersion, LooseVersion

jsundram

from matplotlib.colors import hex2color

# color schemes Courtesy of the excellent mbostock's D3.js project
d3_10 = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']

d3_20 = ['#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c', '#98df8a', '#d62728', '#ff9896', '#9467bd', '#c5b0d5', '#8c564b', '#c49c94', '#e377c2', '#f7b6d2', '#7f7f7f', '#c7c7c7', '#bcbd22', '#dbdb8d', '#17becf', '#9edae5']

d3_20b = ['#393b79', '#5254a3', '#6b6ecf', '#9c9ede', '#637939', '#8ca252', '#b5cf6b', '#cedb9c', '#8c6d31', '#bd9e39', '#e7ba52', '#e7cb94', '#843c39', '#ad494a', '#d6616b', '#e7969c', '#7b4173', '#a55194', '#ce6dbd', '#de9ed6']

d3_20c = ['#3182bd', '#6baed6', '#9ecae1', '#c6dbef', '#e6550d', '#fd8d3c', '#fdae6b', '#fdd0a2', '#31a354', '#74c476', '#a1d99b', '#c7e9c0', '#756bb1', '#9e9ac8', '#bcbddc', '#dadaeb', '#636363', '#969696', '#bdbdbd', '#d9d9d9']

GaelVaroquaux

Cython example of exposing C-computed arrays in Python without data copies

The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.

The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy

nikcub

#!/bin/bash

# Chrome Refresh
#
# nik cubrilovic - nikcub.appspot.com
#
# Simple applescript browser reloader for Google Chrome. It will either open a 
# new tab with the url passed in as an argument or refresh an existing tab. 
#
# Link this up with watchr to auto-refresh browser windows when you save files

rochacbruno

#!/usr/bin/env python

# Haversine formula example in Python
# Author: Wayne Dyck

import math

def distance(origin, destination):
    lat1, lon1 = origin
    lat2, lon2 = destination

teoliphant

from numpy.random import rand
from numpy import r_, ix_, uint8, roll
import matplotlib.pyplot as plt
import time

size = 200
GRID = (rand(size,size) > 0.75).astype(uint8)
# Rotate indices because the world is round
indx = r_[0:size]
up = roll(indx, -1)

pudquick

import os, os.path, sys, urllib2, requests, tempfile, zipfile, shutil, gzip, tarfile

__pypi_base__ = os.path.abspath(os.path.dirname(__file__))

class PyPiError(Exception):
    def __init__(self, value):
        self.value = value
    def __str__(self):
        return repr(self.value)