davidshinn

#!/usr/bin/env python
"""
simple example script for running and testing notebook resulting in a new workbook.

Usage: `ipnbdoctest.py foo.ipynb foo_new.ipynb`

Each cell is submitted to the kernel, and the outputs are compared with those stored in the notebook.
"""

import io

davidshinn

Compiled from 2012 publicly available data at http://www.open.georgia.gov/sta/viewMain.aud

davidshinn

This example is a revision of Focus+Context via Brushing to demonstrate how to use D3's brush component to implement focus + context zooming but along the y-axis. Click and drag up/down in the narrow chart on the left to pan or zoom.

davidshinn

This line chart is an adaptation of Multi-Series Line Chart.

The adaptation highlights:

• Focus+Context via Brushing - Click and drag in the small chart to pan or zoom.
• Brush Transitions - Hover over legend items to refocus the chart on a single city.
• Touch Events - Mouseover effects simulated on tablets with touch events.

davidshinn

[ Launch: Tributary inlet ] 8232013 by davidshinn

davidshinn

[ Launch: bounded panning ] 8294897 by davidshinn

davidshinn

[ Launch: workbars ] 8423329 by davidshinn

davidshinn

davidshinn

{"nbformat_minor": 0, "cells": [{"source": "### Profile finding max in a vector versus finding max in matrix ", "cell_type": "markdown", "metadata": {}}, {"execution_count": 1, "cell_type": "code", "source": "import numpy as np", "outputs": [], "metadata": {"collapsed": true, "trusted": true}}, {"execution_count": 2, "cell_type": "code", "source": "%%time\nm = np.random.randn(500, 600, 500)", "outputs": [{"output_type": "stream", "name": "stdout", "text": "CPU times: user 4.37 s, sys: 309 ms, total: 4.68 s\nWall time: 4.68 s\n"}], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 3, "cell_type": "code", "source": "v = m[:, :, 1]", "outputs": [], "metadata": {"collapsed": true, "trusted": true}}, {"source": "Timing finding max in a vector\n\nHowever, realize you have to run this 300,000 times (500\\*600)", "cell_type": "markdown", "metadata": {}}, {"execution_count": 4, "cell_type": "code", "source": "%timeit np.max(v)", "outputs": [{"output_type": "stream", "name": "stdout", "text": "100

davidshinn

#!/usr/bin/env python
"""Outputs the WebKit cookies for a specified URL.
Useful for wget'ing URLs which require authentication.

$ python thisfile.py http://example.com > wgetcookies.txt
$ wget --load-cookies wgetcookies.txt http://example.com/example.zip
"""

import objc
from Foundation import NSHTTPCookieStorage, NSURL