ofan666

try:
   import numpypy as np    # for compatibility with numpy in pypy
except:
   import numpy as np      # if using numpy in cpython

## Tri Diagonal Matrix Algorithm(a.k.a Thomas algorithm) solver
def TDMAsolver(a, b, c, d):
    '''
    TDMA solver, a b c d can be NumPy array type or Python list type.
    refer to http://en.wikipedia.org/wiki/Tridiagonal_matrix_algorithm

erikh

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

melpomene

import numpy as np
import matplotlib.pyplot as plt
import sys

def main():
	if len(sys.argv) == 1 or "-h" in sys.argv or "--help" in sys.argv:
		print "python lagrange.py <x1.y1> .. <x_k.y_k>"
		print "Example:"
		print "python lagrange.py 0.1 2.4 4.5 3.2"

molotovbliss

Magento Snippets

Set all categories to is_anchor 1

Find attribute_id

SELECT * FROM eav_attribute where attribute_code = 'is_anchor'

Update all of them with anchor_id from above (usually is ID 51)

UPDATE `catalog_category_entity_int` set value = 1 where attribute_id = 51

jonathan-taylor

"""
simple example script for running notebooks and saving the resulting notebook.

Usage: `execute_and_save.py foo.ipynb [bar.ipynb [...]]`

Each cell is submitted to the kernel, and the outputs are overwritten and 
stored in new notebooks foo_executed.ipynb, etc.
"""

import os,sys,time

edouardp

# Assumes you have a np.array((height,width,3), dtype=float) as your HDR image

import numpy as np

f = open("xxx.hdr", "wb")
f.write("#?RADIANCE\n# Made with Python & Numpy\nFORMAT=32-bit_rle_rgbe\n\n")
f.write("-Y {0} +X {1}\n".format(image.shape[0], image.shape[1]))

brightest = np.maximum(np.maximum(image[...,0], image[...,1]), image[...,2])
mantissa = np.zeros_like(brightest)

jaytaylor

#!/usr/bin/env python

"""
Convert camel-case to snake-case in python.

e.g.: CamelCase -> snake_case

Relevant StackOverflow question: http://stackoverflow.com/a/1176023/293064
"""

reimund

"""
	Simple xml serializer.

	@author Reimund Trost 2013

	Example:
	 
	mydict = {
		'name': 'The Andersson\'s',
		'size': 4,

Xion

import functools
import inspect
import os
import warnings


class _DeprecatedDecorator(object):
    MESSAGE = "%s is @deprecated"

    def __call__(self, symbol):

jywarren

/* Sample data:

$W.spectrum_data = {"lines":[
  {"wavelength":842.3466875,"b":21,"g":13,"r":30,"average":21},
  {"wavelength":841.455655089628,"b":13,"g":5,"r":22,"average":13},
  {"wavelength":840.564622679257,"b":0,"g":0,"r":27,"average":9},
  ]
}

Now, setup a Spectral Workbench macro (although we'll keep it commented out until we're ready to deploy it):