cheeaun

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sd

Granny's Carúpano Style Egg Nog (Ponche Crema Carupanero)

• http://en.wikipedia.org/wiki/Car%C3%BApano

Ingredients

• 1 bottle of Whistle Pig bourbon whiskey (or rye), 1 bottle of Bruichladdich scotch whisky
• 30 egg yolks
• 4 cans of condensed milk (14 oz / 397g per can)
• 1 bottle of rum (750 ml)

iamatypeofwalrus

What

Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.

What are we using? What do you need?

• An active AWS account. First time sign-ups are eligible for the free tier for a year
• One Micro Tier EC2 Instance
• With AWS we will use the stock Ubuntu Server AMI and customize it.
• Anaconda for Python.
• Coffee/Beer/Time

yanofsky

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.

In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit

jreijn

{
  "title": "Hippo Campus Experience Optimizer with Relevance for Targeting",
  "services": {
    "query": {
      "idQueue": [
        1,
        2,
        3,
        4
      ],

mlgill

import pandas as pa

def rmerge(left,right,**kwargs):
    """Perform a merge using pandas with optional removal of overlapping
    column names not associated with the join. 
    
    Though I suspect this does not adhere to the spirit of pandas merge 
    command, I find it useful because re-executing IPython notebook cells 
    containing a merge command does not result in the replacement of existing
    columns if the name of the resulting DataFrame is the same as one of the

okomestudio

#!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
"""An example of A/B test using the chi-squared test for independence."""
import numpy as np
import pandas as pd
from scipy.stats import chi2_contingency


def main():
    data = pd.io.parsers.read_csv('n10000.csv')

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

syhw

"""
A deep neural network with or w/o dropout in one file.

License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""

import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams

elliottcordo

import sys
import logging
import psycopg2
import pandas as pd
import pandas.io.sql as sqlio
import ConfigParser
import argparse
import statistics
from pandas import pivot_table, crosstab
from datetime import datetime