hadley

If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?

I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:

• Statistical knowledge
• Programming/hacking skills
• Domain expertise

Statistical knowledge

mages

// TMP36 Pin Variables
// the analog pin the TMP36's Vout (sense) pin is connected to
// the resolution is 10 mV / degree centigrade with a
// 500 mV offset to allow for negative temperatures
int sensorPin = 0;
void setup()
{
  Serial.begin(9600);  //Start the serial connection with the computer
                       //to view the result open the serial monitor 
}

categulario

# validate github signature
import hashlib
import hmac
import json

signature = hmac.new(GITHUB_TOKEN, payload, hashlib.sha1).hexdigest()

# assuming that the 'payload' variable keeps the content sent by github as plain text
# and 'headers' variable keeps the headers sent by GitHub

yong27

import multiprocessing
import pandas as pd
import numpy as np

def _apply_df(args):
    df, func, kwargs = args
    return df.apply(func, **kwargs)

def apply_by_multiprocessing(df, func, **kwargs):
    workers = kwargs.pop('workers')

xiaodaigh

library(shiny)

disableActionButton <- function(id,session) {
  session$sendCustomMessage(type="jsCode",
                             list(code= paste("$('#",id,"').prop('disabled',true)"
                                    ,sep="")))
}

shinyServer(function(input, output,session) {