c-rhodes

import pandas as pd
import matplotlib.pyplot as plt

dataset = '/home/cullenrhodes/Downloads/as-and-a-level-mathematics-data-set.xls'
# Build DataFrame containing Heathrow 1987 data.
# Header starts at row 6 (substract 1 for 0-based indexing).
df_heathrow_1987 = pd.read_excel(
    dataset, sheetname='Heathrow May-Oct 1987', header=5, index_col='Date'
)
# Build DataFrame containing Heathrow 2015 data.

c-rhodes

import django
django.setup()
import factory.base
import inspect
import importlib
factory_pre_imports = []
for app_name in LOCAL_APPS:
    module_name = '{}.{}'.format(app_name, 'factories')
    try:
        module = importlib.import_module(module_name)

c-rhodes

from itertools import izip_longest

def grouper(n, iterable, fillvalue=None):
    "grouper(3, 'ABCDEFG', 'x') --> ABC DEF Gxx"
    args = [iter(iterable)] * n
    return izip_longest(fillvalue=fillvalue, *args)


def exp_treesize(data):
    data = data.split('\n')

c-rhodes

from rest_framework import renderers


class PlainTextRenderer(renderers.BaseRenderer):
    media_type = 'text/plain'
    format = 'text'

    def render(self, data, media_type=None, renderer_context=None):
        return str(renderers.JSONRenderer().render(data, media_type, renderer_context)).encode(self.charset)

c-rhodes

c-rhodes

# settings.py

class DisableMigrations(object):

    def __contains__(self, item):
        return True

    def __getitem__(self, item):
        return "notmigrations"

c-rhodes

"""
Reddit DailyProgrammer Challenge #190 - Webscraping Sentiments.
http://bit.ly/11sBRa0
"""

import requests
from bs4 import BeautifulSoup

comments_url = 'http://www.youtube.com/all_comments?v={video_id}'
happy = ['love','loved','like','liked','awesome','amazing','good','great','excellent']

c-rhodes

# Demonstration of a time of check to time of use (toutou) race condition

import os
import time
from threading import Thread


class ReadFileThread(Thread):

    def __init__(self, file_name):

c-rhodes

import numpy as np

# shape (3, 3, 3, 3)
l = np.array(range(81)).reshape((3, 3, 3, 3))

for w in range(3):
    for x in range(3):
        for y in range(3):
            for z in range(3):
                print(l[w][y][x][z], end=" ")