KelliExMachina

import pprint
import requests
import os
from urllib.request import urlopen

accessToken = "xxxxxxxxxx"
boardId = "0000000000"
folderPath = "./images"

response = requests.get(

KelliExMachina

KelliExMachina

Linear Regression

Please clone this repo and import the life_expectancy.csv file into a jupyter notebook. Fit a linear regression model.

Please answer the following questions in your warmups slack channel.

1. How did you handle categorical variables?

• Did you use dummies?
  • What column did you designate as your baseline?
  • How many columns does your dataframe have after creating dummies?
• Did you drop columns?
• What columns did you drop?

KelliExMachina

# encoding: utf8                                                                                                                                           1,1           Top# encoding: utf8
import argparse
from datetime import datetime
import json
from random import randint
import requests
import sys
from time import sleep

KelliExMachina

Tinder API documentation

http://rsty.org/

I've sniffed most of the Tinder API to see how it works. You can use this to create bots (etc) very trivially. Some example python bot code is here -> https://gist.github.com/rtt/5a2e0cfa638c938cca59 (horribly quick and dirty, you've been warned!)

Note: this was written in April/May 2014 and the API may have changed since. I have nothing to do with Tinder, nor their API, and I do not offer any support for anything you may build on top of this

API Details

KelliExMachina

Things I believe

This is a collection of the things I believe about software development. I have worked for years building backend and data processing systems, so read the below within that context.

Agree? Disagree? Feel free to let me know at @JanStette.

Fundamentals

Keep it simple, stupid. You ain't gonna need it.