import os
import sys

os.listdir('.')

import gale.fileIO.csvHandlers as csvh
data, headers = csvh.read_as_list('school_shootings.csv', header=True)
print data[0]

import pandas as pd
df = pd.read_csv('school_shootings.csv')
print df.head()

df.plot(x='Decade', y='Count')

from mpltools import style
style.use('ggplot')

df.plot(x='Decade', y='Count')
plt.ylabel('Number of School Shooting Incidents')

os.listdir('.')

uspop = pd.read_csv('us_population.csv')
uspop.head()

def pull_year(date_string):
    return int(date_string.split(' ')[-1])

uspop['year'] = uspop.Date.apply(pull_year)
uspop.head()

uspop.plot(x='year', y='National Population')
plt.ylabel('US Population')
plt.xlabel('Year')



ls

cd ~/Projects/Fragmented-Care/

ls -la

!ping www.google.com

%%bash
cd $gale
ls -la

ls -la

files = !ls
for individual_file in files:
    print individual_file

%%ruby
puts "Oh snap. This is Ruby Code!"

%%javascript
console.log("Double damn! It's javascript!")

%timeit map(float, [1, 2, 3, 4, 5] * 1000)

%timeit [float(x) for x in [1, 2, 3, 4, 5] * 1000]