jbwhit

6.258113587267615912e+03 3.931454234930131797e-03 -3.926501081758206751e-03
6.258140724533569482e+03 5.700400599615185193e-03 -5.695357895812987875e-03
6.258167861917198934e+03 -1.910863961985542758e-02 1.911377276713767392e-02
6.258194999418505176e+03 2.727114697218313566e-03 -2.721889471251378104e-03
6.258222137037488210e+03 5.522115735531407665e-03 -5.516796273862097956e-03
6.258249274774148944e+03 -6.837686370450013484e-03 6.843102550134077394e-03
6.258276412628488288e+03 1.073295997916567934e-02 -1.072744439924019216e-02
6.258303550600506242e+03 1.717148043567995330e-02 -1.716586263253182948e-02
6.258330688690204624e+03 -3.305773816682400223e-03 3.311496787465022153e-03
6.258357826897581617e+03 1.270592765964484450e-02 -1.270009645751350724e-02

jbwhit

jbwhit

2016 PyData SF

Mental Models to Use and Avoid as a Data Scientist

• Jonathan Whitmore, PhD
• Data Scientist, SVDS
• @jbwhitmore

Watch the talk on YouTube here:

jbwhit

export TERM=xterm-color
export GREP_OPTIONS='--color=auto' GREP_COLOR='1;32'
export CLICOLOR=1
# ls colors, see: http://www.linux-sxs.org/housekeeping/lscolors.html
# Reset
Color_Off='\e[0m'       # Text Reset

# Regular Colors
Black='\e[0;30m'        # Black
Red='\e[0;31m'          # Red

jbwhit

import cPickle as pickle
# cd /Users/jwhitmore/Desktop/Research/Projects/thar-attached/data/
import gzip
import pandas as pd

from glob import glob

def clean_headerfile(header_dict):
    clean_file = {}
    for key, value in header_dict.iteritems():

jbwhit

jbwhit

jbwhit

jbwhit

jbwhit

c = get_config()
### If you want to auto-save .html and .py versions of your notebook:
# modified from: https://github.com/ipython/ipython/issues/8009
import os
from subprocess import check_call

def post_save(model, os_path, contents_manager):
    """post-save hook for converting notebooks to .py scripts"""
    if model['type'] != 'notebook':
        return # only do this for notebooks