Hunter Owens hunterowens

## postgresql.conf
# -----------------------------
# PostgreSQL configuration file
# -----------------------------
#
# This file consists of lines of the form:
#
#   name = value
#
# (The "=" is optional.)  Whitespace may be used.  Comments are introduced with
# "#" anywhere on a line.  The complete list of parameter names and allowed

## pg_hba.conf
# PostgreSQL Client Authentication Configuration File
# ===================================================
#
# Refer to the "Client Authentication" section in the PostgreSQL
# documentation for a complete description of this file.  A short
# synopsis follows.
#
# This file controls: which hosts are allowed to connect, how clients
# are authenticated, which PostgreSQL user names they can use, which
# databases they can access.  Records take one of these forms:

## speedtest.py
import timeit
import pandas as pd
import requests

S3_URL = "https://s3-us-west-2.amazonaws.com/dssgtest01/crimedata.csv"
S3_PATH = "s3://dssgtest01/crimedata.csv"
LOCAL_EBS_PATH = "/mnt/vol-2a96ab12/crimedata.csv"
NFS_PATH = "/mnt/data1/SpeedTest/crimedata.csv"

#S3 Testing. using HTML

## renmin.csv

          
            type_of_connection
            ping
            download
            upload

            
              CMCC Paid China Moible
              0
              26.35
              32.36

            
              Renmin WIFI
              16
              6.24
              1.59

            
              Personal WIFI
              2
              42.96
              49.02

            
              Personal WIFI+cVPN
              453
              1.01
              0.007

            
              Personal WIFI+OpenVPN/Digital Ocean
              443
              0.05
              0.33

            
              Personal WIFI+IP VanishVPN
              437
              0.59
              0.08

## lunch.md

      
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                hunterowens
                / lunch.md
            
            
              Last active
              August 29, 2015 14:03
            
              
                JuliaConLunch
              
          
Portillos - Classic Chicago - Italian Beef, Hot Dogs - Farther Walk- 100 W Ontario St
Food Trucks - Right outside. Take a Look.
Food For Thought - Food Court/Salad Bar - 401 North Michigan Ave - walk towards Michigan.
Billy Goat Tavern - 430 N. Michigan Ave - LOWER LEVEL- The Classic Chicago Burger Place. Under Tribune Tower.
Water Tower Place Food Court - It's a Mall with a food court. Walk up Michigan.
Epic Burger -  New Burger place - 227 E Ontario St
Sayat Nova - Sit down Armenian food. 157 E. Ohio St.
Chipotle - 291 E Ontario St
Potbelly - Local sandwich chain- 277 E Ontario St
Naf Naf Grill - Middle Eastern Chipotle - 326 N Michigan Ave


## wards2014.json

      
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                hunterowens
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              Created
              December 3, 2014 21:40
            
              
                wards.geojson
              
          
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## list.md

      
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                hunterowens
                / list.md
            
            
              Created
              December 18, 2014 19:01
            
              
                SouthsideBestSide
              
          
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


## pandas.ipynb

      
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              February 10, 2015 21:29
            
              
                IntroPandas
              
          
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## test.geojson

      
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                / test.geojson
            
            
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              April 13, 2015 18:54
            
              
                transit.geojson
              
          
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## will_extract_ca_sort.py
# 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
	# -----------------------------
	# PostgreSQL configuration file
	# -----------------------------
	#
	# This file consists of lines of the form:
	#
	# name = value
	#
	# (The "=" is optional.) Whitespace may be used. Comments are introduced with
	# "#" anywhere on a line. The complete list of parameter names and allowed
	# PostgreSQL Client Authentication Configuration File
	# ===================================================
	#
	# Refer to the "Client Authentication" section in the PostgreSQL
	# documentation for a complete description of this file. A short
	# synopsis follows.
	#
	# This file controls: which hosts are allowed to connect, how clients
	# are authenticated, which PostgreSQL user names they can use, which
	# databases they can access. Records take one of these forms:
	import timeit
	import pandas as pd
	import requests

	S3_URL = "https://s3-us-west-2.amazonaws.com/dssgtest01/crimedata.csv"
	S3_PATH = "s3://dssgtest01/crimedata.csv"
	LOCAL_EBS_PATH = "/mnt/vol-2a96ab12/crimedata.csv"
	NFS_PATH = "/mnt/data1/SpeedTest/crimedata.csv"

	#S3 Testing. using HTML
type_of_connection	ping	download	upload
CMCC Paid China Moible	0	26.35	32.36
Renmin WIFI	16	6.24	1.59
Personal WIFI	2	42.96	49.02
Personal WIFI+cVPN	453	1.01	0.007
Personal WIFI+OpenVPN/Digital Ocean	443	0.05	0.33
Personal WIFI+IP VanishVPN	437	0.59	0.08
	# 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