Dale Smith dtsmith2001

Introduction

This quick guide describes how to create a Jupyter Notebook in AWS EC2 then how to access it remotely using SSH tunneling. This method is preferred since you do not open any additional ports besides 22, requires little-to-no configuration, and is generally more straight-forward.

Pre-requisites

This current version assumes basic familiarity with cloud computing, AWS services, and Jupyter Notebook. Mostly because this version won't have images and won't dive too deep into each individual step.

Steps

Spin-up EC2 instance with "Deep Learning" AMI

Log into EC2 console and click "Launch Instance" button.
Inside "AWS Marketplace", select the "Deep Learning AMI" from AWS. I use this AMI because most of the stuff you'll need is installed already.

	# This is a modified version that supports tmux 1.5 so you can use tmux on Cloud9 IDE.
	# https://gist.github.com/chirayuk/6084618

	# NOTE: The default TERM value under Cloud9 is set to vt100. This won't give
	# you colors under tmux. Before running tmux, "export
	# TERM=screen-256color" and then run tmux. If you already ran tmux
	# before doing so, you can "tmux kill-server" to kill it and start a new
	# one.

	#nop# # https://gist.github.com/chirayuk/5377283

	# INSTALL INSTRUCTIONS: save as ~/.gdbinit
	#
	# DESCRIPTION: A user-friendly gdb configuration file.
	#
	# REVISION : 7.3 (16/04/2010)
	#
	# CONTRIBUTORS: mammon_, elaine, pusillus, mong, zhang le, l0kit,
	# truthix the cyberpunk, fG!, gln
	#
	# FEEDBACK: https://www.reverse-engineering.net

	#analyze breakpoints with the R package bfast
	#please read the paper
	#Verbesselt J, Hyndman R, Newnham G, Culvenor D (2010)
	#Detecting Trend and Seasonal Changes in Satellite Image Time Series.
	#Remote Sensing of Environment, 114(1), 106–115.
	#http://dx.doi.org/10.1016/j.rse.2009.08.014

	require(bfast)
	require(quantmod)