Joyce Cahoon jyuu

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

Stores data elements based on an sequential, most commonly 0 based, index.
Based on tuples from set theory.

	---
	title: "Model Butcher"
	output: html_notebook
	---

	# butcher

	New package that helps reduce the size of modeling objects saved
	to disk.


	# Some research -----------------------------------------------------------

	# Source: https://stackoverflow.com/questions/40818001/understanding-spark-serialization
	# "To serialize an object means to convert its state to a byte stream so
	# that the byte stream can be reverted back into a copy of the object.
	# A Java object is serializable if its class or any of its superclasses
	# implements either the java.io.Serializable interface or its subinterface,
	# java.io.Externalizable."


	# Load packages -----------------------------------------------------------
	library(twitteR)
	library(dplyr)
	library(gganimate)
	library(ggplot2)
	library(bigrquery)

	# Twitter Creds -----------------------------------------------------------
	consumer_key <- ""