tomatau

/** Jest Config **/

  "jest": {
    "globals": {
      "__DEV__": true,
      "__TEST__": true
    },
    "testDirectoryName": "app/tests",
    "testFileExtensions": [

tomatau

let HelloWorld = React.createClass({
  render(){
    return <span>Hello, world!</span>;
  }
})

React.render(<HelloWorld/>, document.body)

tomatau

let MyComponent = React.createClass({
  getInitialState(){
    return { who: 'world!', unchanged: 'I dont change' };
  },
  render(){
    return (
      <span className='hello' onClick={this.handleClick}>
        Hello, {this.state.who}
      </span>
    )

tomatau

let MyForm = React.createClass({
  render(){
    return (
      <form onSubmit={this.handleSubmit}>
        <input type="text" ref='my-input' />
      </form>
    )
  },
  handleSubmit(event){
    event.preventDefault()

tomatau

let ClickableList = React.createClass({
  render(){
    let { inputs, onClickItem } = this.props;
    return (
      <ul>
        {inputs.map((input,i)=>
          <li key={i} onClick={onClickItem.bind(null, input)}>
          {input}
          </li>
        )}

tomatau

  propTypes: {
    onClickItem: React.PropTypes.func.isRequired,
    inputs: React.PropTypes.arrayOf(
      React.PropTypes.shape({
        text: React.PropTypes.node
      })
    )
  },
  getDefaultProps(){

tomatau

#!/usr/bin/python
import matplotlib.pyplot as plt
import pandas as pd
import scipy.stats as stats

# read the data
loansData = pd.read_csv(
    'https://spark-public.s3.amazonaws.com/dataanalysis/loansData.csv'
)

tomatau

from scipy import stats
# import matplotlib.pyplot as plt
import pandas as pd
import collections

loansData = pd.read_csv(
    'https://spark-public.s3.amazonaws.com/dataanalysis/loansData.csv'
)
loansData.dropna(inplace=True)
freq = collections.Counter(loansData['Open.CREDIT.Lines'])

tomatau

#!/usr/bin/python
import pandas as pd
import statsmodels.api as sm
import math
import matplotlib.pyplot as plt
import numpy as np

loansData = pd.read_csv('loansData_clean.csv')
loansData['IR_TF'] = loansData['Interest.Rate'] < 12

tomatau

import pandas as pd
import matplotlib.pyplot as plt
loansData = pd.read_csv(
    'https://spark-public.s3.amazonaws.com/dataanalysis/loansData.csv'
)
loansData['Interest.Rate'] = loansData['Interest.Rate'].map(
    lambda x: float(x.rstrip('%'))
)

loansData['Loan.Length'] = loansData['Loan.Length'].map(