danhey

def mnras_size(fig_width_pt, square=False):
    inches_per_pt = 1.0/72.00              # Convert pt to inches
    golden_mean = (np.sqrt(5)-1.0)/2.0     # Most aesthetic ratio
    fig_width = fig_width_pt*inches_per_pt # Figure width in inches
    if square:
        fig_height = fig_width
    else:
        fig_height = fig_width*golden_mean
    return [fig_width,fig_height]

RuthAngus

import numpy as np

def teff2bv(teff, logg, feh):
    """
    Relation from Sekiguchi & Fukugita (2000).
    """
    t = [-813.3175, 684.4585, -189.923, 17.40875]
    f = [1.2136, 0.0209]
    d1, g1, e1 = -0.294, -1.166, 0.3125
    return t[0] + t[1]*np.log10(teff) + t[2]*(np.log10(teff))**2 + \

shoyer

jakevdp

Bibleish.py

This is a simple NLTK Python script which uses N-grams to construct phrases from a generative language model trained on the King James Bible.