hunterowens

Routes are in rough order of speed.

1. Chicago - Quad Cities - Des Moines - Omaha - Denver - Grand Junction - Vegas - LA

• Pretty much just the fastest way
• Go to the art museum in the Quad Cities and John Deree Museum
• Lotus of Siam in Vegas
• not close enough to too many national parks, but you could maybe hit Zion.

2. Chicago - Springfield - Kansas City - OKC - ABQ - Flagstaff - Joshua Tree - LA

• This is how I moved back to LA, and the only drive I made solo. Lots of great food.
• ABQ is amazing, spent a day there.

hunterowens

Routes are in rough order of speed.

1. Chicago - Quad Cities - Des Moines - Omaha - Denver - Grand Junction - Vegas - LA

• Pretty much just the fastest way
• Go to the art museum in the Quad Cities and John Deree Museum
• Lotus of Siam in Vegas
• not close enough to too many national parks, but you could maybe hit Zion.

2. Chicago - Springfield - Kansas City - OKC - ABQ - Flagstaff - Joshua Tree - LA

• This is how I moved back to LA, and the only drive I made solo. Lots of great food.
• ABQ is amazing, spent a day there.

hunterowens

import pandas as pd
import datetime

df = pd.read_csv('./path_to_file.csv')

df['date'] = df['datetime'].apply(datetime.datetime.fromtimestamp) 

df.to_csv('new_file')

hunterowens

import pymssql
conn = pymssql.connect(server="", user="",password="", port=)

stmt = "SELECT * FROM AlumniMirror..vwApp_Detail WHERE applied_dummy = 1;"

df = pd.read_sql(stmt,conn)

hunterowens

# coding: utf-8
import pandas as pd

# Get the table by id, pick first item on the returned list 
df = pd.read_html('http://primis.phmsa.dot.gov/comm/reports/operator/OperatorIM_opid_300.html?nocache=6511#_Incidents_tab_3', attrs={'id': '_4E112845Q'})[0]

# only in CA
df[df['State'] == 'CA'].keys()

# Sort by property damage

hunterowens

hunterowens

hunterowens

• Jackson Park
  • Make sure to see the japanese garden, and the columbia statue
  • Also the MSI
• Smart is also good
• go have breakfast at Daley's 2nd oldest resturant in the city
• Calumet and the east side is cool - check out the state line power plant and have some Calumet Fisheries

hunterowens

hunterowens

import xmltodict
import json
import pandas as pd

file = open('/path/to/file.xml','r')
str = file.read()
dictionary = xmltodict.parse(str)
df = pd.DataFrame(dictionary)
# Do any parsing of the XML file here, as you'll want to confirm that you are writing the correct info to csv. 
df.to_csv('/path/to/output.csv')