jmcarp

# Import matplotlib
from matplotlib import pyplot as plt

# Define data
data_grp1 = [1, 2, 3, 4, 5, 3, 2, 1, 5, 6, 4, 2, 4]
data_grp2 = [6, 7, 8, 7, 8, 9, 1, 1, 9, 15]

# Boxplot
plt.boxplot([data_grp1, data_grp2])

jmcarp

# data = ...
# subjects = ...
# trials = ...
# computation = function(...)

for (subject in subjects) {
    subject_rows = data$subject == subject
    for (trial in trials) {
        rows = subject_rows & data$trial == trial
        result = computation(data[rows,])

jmcarp

def states_to_colors(states, cols):
    '''Generate all possible mappings of states to colors.

    Args:
        states (list) : list of state names
        cols (list) : list of color names
    Returns:
        list of dictionaries of state-color mappings
    
    Example use:

jmcarp

def enum(sofar, new):
    if len(new) == 0:
        return sofar
    else:
        return enum (sofar + new[0] + 'r', new[1:]) \
            + enum (sofar + new[0] + 'g', new[1:]) \
            + enum (sofar + new[0] + 'b', new[1:]) \

jmcarp

"""
Extract PDF text using PDFMiner. Adapted from
http://stackoverflow.com/questions/5725278/python-help-using-pdfminer-as-a-library
"""

from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter#process_pdf
from pdfminer.pdfpage import PDFPage
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams

jmcarp

@app.before_request
def prepare_private_key():
	
	# Done if private_key in args
	key_from_args = request.args.get('private_key')
	if key_from_args:
		return

	# Check referrer for private key
	parsed_referrer = urllib.urlparse(request.referrer)

jmcarp

function forceDownload(href) {
	var anchor = document.createElement('a');
	anchor.href = href;
	anchor.download = href;
	document.body.appendChild(anchor);
	anchor.click();
}

jmcarp

class _Bar(object):
    pass

class Foo(object):
    
    def __init__(self):
        self._bar = None
        
    @property

jmcarp

# -*- coding: utf-8 -*-
"""Tornado / Celery / sockets proof of concept
To run:
$ celery -A app worker
$ python app.py
"""

import os
import socket
import random

jmcarp

import asyncio
import aiohttp

import tornado.web
import tornado.options
import tornado.concurrent
import tornado.platform.asyncio

URL = '...'
UPLOAD_URL = '...'