jgomezdans

import matplotlib,numpy
import pylab
# A random colormap for matplotlib
cmap = matplotlib.colors.ListedColormap ( numpy.random.rand ( 256,3))
pylab.imshow ( Z, cmap = cmap)
pylab.show()

alexbw

# Install Macports

# We'll install a relatively high-level package first, with a lot of dependencies,
# so that we pick up everything along the way

# Chaco is an enthought plotting package that'll 
sudo port install py26-chaco
sudo port select python python26

sudo port install py26-ipython

potch

.gist-highlight {
    border-left: 3ex solid #eee;
    position: relative;
}

.gist-highlight pre {
    counter-reset: linenumbers;
}

.gist-highlight pre div:before {

liuyxpp

from flask import Flask, make_response, render_template
app = Flask(__name__)

@app.route("/")
def index():
    render_template("index.html")

@app.route("/simple.png")
def simple():
    import datetime

wataru420

<style>.gist{color:#000;}.gist div{padding:0;margin:0;}.gist .gist-file{border:1px solid #dedede;font-family:Monaco,'Courier New','DejaVu Sans Mono','Bitstream Vera Sans Mono',monospace;margin-bottom:1em;}.gist .gist-file .gist-meta{overflow:hidden;font-size:85%;padding:.5em;color:#666;background-color:#eaeaea;}.gist .gist-file .gist-meta a{color:#369;}.gist .gist-file .gist-meta a:visited{color:#737;}.gist .gist-file .gist-data{overflow:auto;word-wrap:normal;background-color:#f8f8ff;border-bottom:1px solid #ddd;font-size:100%;}.gist .gist-file .gist-data pre{font-family:'Bitstream Vera Sans Mono','Courier',monospace;background:transparent !important;margin:0 !important;border:none !important;padding:.25em .5em .5em .5em !important;}.gist .gist-file .gist-data .gist-highlight{background:transparent !important;}.gist .gist-file .gist-data .gist-line-numbers{background-color:#ececec;color:#aaa;border-right:1px solid #ddd;text-align:right;}.gist .gist-file .gist-data .gist-line-numbers span{clear:right;display:b

kgaughan

from itertools import chain

def parse_range(rng):
    parts = rng.split('-')
    if 1 > len(parts) > 2:
        raise ValueError("Bad range: '%s'" % (rng,))
    parts = [int(i) for i in parts]
    start = parts[0]
    end = start if len(parts) == 1 else parts[1]
    if start > end:

jasonrudolph

About

This gist is a collection of my rough notes from Strange Loop 2012.

@jasonrudolph on Twitter | @jasonrudolph on GitHub

Did I Mention That They're Rough?

andreas-h

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
*****************************************************************************
Design document for a ``gridded_array`` class
*****************************************************************************

:Author:    Andreas Hilboll <andreas@hilboll.de>
:Date:      Wed Sep 26 14:48:57 2012

pprett

"""Parallel grid search for sklearn's GradientBoosting.

This script uses IPython.parallel to run cross-validated
grid search on an IPython cluster. Each cell on the parameter grid
will be evaluated ``K`` times - results are stored in MongoDB.

The procedure tunes the number of trees ``n_estimators`` by averaging
the staged scores of the GBRT model averaged over all K folds.

You need an IPython ipcluster to connect to - for local use simply

damianavila

"""
Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ]
Modified from remove_output by Minrk

"""
import sys
import io
import os
from IPython.nbformat.current import read, write