dkmehrmann

import requests
from bs4 import BeautifulSoup
import pandas as pd
import datetime
import time
import os

# CONSTANTS
expected_ga=4908874
expected_pa=6902763

dkmehrmann

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

gdp_ = 'http://www.ggdc.net/MADDISON/Historical_Statistics/vertical-file_02-2010.xls'
gdp = pd.read_excel(gdp_, sheet_name='PerCapita GDP', header =2, usecols=[0, 182], names=['year', 'GlobalGDPPerCapita']).dropna()
gdp.year = gdp.year.astype(int)

co2_ = 'ftp://data.iac.ethz.ch/CMIP6/input4MIPs/UoM/GHGConc/CMIP/yr/atmos/UoM-CMIP-1-1-0/GHGConc/gr3-GMNHSH/v20160701/mole_fraction_of_carbon_dioxide_in_air_input4MIPs_GHGConcentrations_CMIP_UoM-CMIP-1-1-0_gr3-GMNHSH_0000-2014.csv'
co2 = pd.read_csv(co2_)

dkmehrmann

from __future__ import print_function
import sys
from nhlscrapi.games.game import Game, GameKey, GameType
from nhlscrapi.games.cumstats import Score, ShotCt, Corsi, Fenwick

print(sys.version)

season = 2014                                    # 2013-2014 season
game_num = 1226                                  #
game_type = GameType.Regular                     # regular season game

dkmehrmann

#!/bin/bash

# example use:
# [~/gitrepos/dkmehrmann.github.io/_ipynb]$ ../scripts/convert.sh google_maps.ipynb 
# 

BUILD_DIR="/home/andrew/gitrepos/dkmehrmann.github.io/_ipynb/"
POST_DIR="/home/andrew/gitrepos/dkmehrmann.github.io/_posts/"

# use nbconvert on the file