Author: Fernando Pérez.
A demonstration of how to use Python, Julia, Fortran and R cooperatively to analyze data, in the same process.
This is supported by the IPython kernel and a few extensions that take advantage of IPython's magic system to provide low-level integration between Python and other languages.
See the companion notebook for data preparation and setup.
| from datetime import datetime | |
| from lxml import etree | |
| from natural.number import ordinal | |
| def main(source_fname, names): | |
| with open(source_fname, 'r') as fh: | |
| doc = etree.parse(fh) |
| # By Jake VanderPlas | |
| # License: BSD-style | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| def discrete_cmap(N, base_cmap=None): | |
| """Create an N-bin discrete colormap from the specified input map""" |
| { | |
| "metadata": { | |
| "name": "", | |
| "signature": "sha256:0936e15ccb28902d87415df9f98f757654d0c61a7c74400c92c0553c6bbcf91d" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ |
| """This demo program solves Helmholtz's equation | |
| - div grad u(x, y) + u(x,y) = f(x, y) | |
| on the unit square with source f given by | |
| f(x, y) = (1.0 + 8.0*pi**2)*cos(x[0]*2*pi)*cos(x[1]*2*pi) | |
| and the analytical solution |
