jhamrick

import os
import matplotlib.pyplot as plt

def save(path, ext='png', close=True, verbose=True):
    """Save a figure from pyplot.

    Parameters
    ----------
    path : string
        The path (and filename, without the extension) to save the

jhamrick

#!/usr/bin/env bash
#
# Generate a set of TLS credentials that can be used to run development mode.
#
# Based on script by Ash Wilson (@smashwilson)
# https://github.com/cloudpipe/cloudpipe/pull/45/files#diff-15
#
# usage: sh ./genkeys.sh NAME HOSTNAME IP

set -o errexit

jhamrick

class Pet(object):
    
    def __init__(self, name, species):
        self.name = name
        self.species = species

    def getName(self):
        return self.name

    def getSpecies(self):

jhamrick

/* Solarized color pallet */
.solarized.base03 { color: #002b36; }
.solarized.base02 { color: #073642; }
.solarized.base01 { color: #586e75; }
.solarized.base00 { color: #657b83; }
.solarized.base0 { color: #839496; }
.solarized.base1 { color: #93a1a1; }
.solarized.base2 { color: #eee8d5; }
.solarized.base3  { color: #fdf6e3; }
.solarized.solar-yellow  { color: #b58900; }

jhamrick

FROM jupyter/notebook

# Install nbgrader
RUN pip2 install nbgrader && pip3 install nbgrader

# Add any other dependencies you might want, e.g. numpy, scipy, etc.
#RUN pip2 install numpy scipy matplotlib
#RUN pip3 install numpy scipy matplotlib

# Configure grader user

jhamrick

import sys
import os
import logging
from logging.handlers import RotatingFileHandler

# This script assumes you have created a subdomain on DreamHost
# that is configured for Passenger. It also assumes you have created
# a Python virtual environment in the root of that subdomain and
# installed psiTurk inside it.

jhamrick

"""Return feedback to students that was generated with `nbgrader feedback`.

This must be run from the root of the nbgrader directory. You probably need to run
it with sudo since you need to write to other users' directories.

Usage:

    sudo python return_feedback.py problem_set_name
    
"""

jhamrick

import os
import pandas as pd
from nbgrader.api import Gradebook
from nbformat import write as write_nb
from nbformat.v4 import new_notebook, new_markdown_cell


def gradebook():
    if os.environ.get('NBGRADER_DB_URL', ''):
        gb = Gradebook(os.environ['NBGRADER_DB_URL'])

jhamrick

from timeit import Timer
import numpy as np
import math

def timer(*funcs):
    # find the maximum function name length
    if len(funcs) > 1:
        maxlen = max(*[len(func) for func in funcs])
    elif len(funcs) == 1:
        maxlen = len(funcs[0])

jhamrick

import os
import numpy as np
import scipy.misc
import scipy.io
import matplotlib.pyplot as plt


def reconstruct_3d(name, plot=True):
    """
    Homework 2: 3D reconstruction from two Views