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## data_geeks_team_calendar_lex.ipynb

      
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              December 10, 2015 20:38
            
              
                Adapted from https://github.com/bigsnarfdude/github_team_calendars/blob/master/data_geeks_team_calendar.ipynb Git commit activity from github contributions calendar.
              
          
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## gist:6cca8c1aa7acb14d9292
#!/usr/bin/env python
# utility for figuring out django model from a csv with representative data.
import argparse
import math
import sys


# TODO: Figure out if DateField or DateTimeField


## nunique_test.py
### Not saying this is best benchmark, but indicative at least.
import pandas as pd
import numpy as np
from timeit import timeit

def main():
    def get_setup_for_len(n, nunique_values):
        setup_l = [
            'import pandas as pd',
            'import numpy as np',

## gist:525d30536505b7bfec6d

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
  "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">


<html xmlns="http://www.w3.org/1999/xhtml">
  <head>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />

    <title>Installation &mdash; pandas 0.14.1-30-gfbf9e1e documentation</title>
	#!/usr/bin/env python
	# utility for figuring out django model from a csv with representative data.
	import argparse
	import math
	import sys


	# TODO: Figure out if DateField or DateTimeField
	### Not saying this is best benchmark, but indicative at least.
	import pandas as pd
	import numpy as np
	from timeit import timeit

	def main():
	def get_setup_for_len(n, nunique_values):
	setup_l = [
	'import pandas as pd',
	'import numpy as np',

	<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
	"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">


	<html xmlns="http://www.w3.org/1999/xhtml">
	<head>
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />

	<title>Installation — pandas 0.14.1-30-gfbf9e1e documentation</title>