prthamesh pratos

boto3 quick hands-on

This documentation aims at being a quick-straight-to-the-point-hands-on AWS resources manipulation with [boto3][0].

First of all, you'll need to install [boto3][0]. Installing it along with [awscli][1] is probably a good idea as

a helpful primer for users sick of git's poorly-named commands

I've used Git since 2011, and this is the stuff that I've always had to Google to remember. I hope it helps you not hate Git so much.

Because AWS Lambda runs in a Amazon Linux environment, to run external modules you must

sudo yum update -y

	TEST_ARRAY1 = [2,5,1,3,4]

	def bubblesort(unordered_list):
	"""
	Bubble the largest element to the right

	Complexity:
	- Best Case = O(n)
	- Worst Case = O(n^2)
	"""

	#!/usr/bin/env python

	"""Sample Google Cloud Storage API client.

	Based on <https://cloud.google.com/storage/docs/json_api/v1/json-api-python-samples>,
	but removed parts that are not relevant to the Cloud Storage API.

	Assumes the use of a service account, whose secrets are stored in
	$HOME/google-api-secrets.json"""

	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D, MaxPooling2D
	from keras.layers.normalization import BatchNormalization

	#AlexNet with batch normalization in Keras
	#input image is 224x224

	model = Sequential()
	model.add(Convolution2D(64, 3, 11, 11, border_mode='full'))

	#!/bin/bash -ex

	if [ "$(cat /mnt/var/lib/info/instance.json \| jq -r .isMaster)" == "true" ]; then
	# Install Git
	sudo yum -y install git

	# Install Maven
	wget -P /tmp http://apache.mirrors.spacedump.net/maven/maven-3/3.3.3/binaries/apache-maven-3.3.3-bin.tar.gz
	sudo mkdir /opt/apache-maven
	sudo tar -xvzf /tmp/apache-maven-3.3.3-bin.tar.gz -C /opt/apache-maven

	<html>
	<!-- See also: http://kempe.net/blog/2014/06/14/leaflet-pan-zoom-image.html -->
	<head>
	<link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.css"></script>
	<style>
	#image-map {
	width: 100%;
	height: 300px;
	border: 1px solid #ccc;
	margin-bottom: 10px;

	import matplotlib.pyplot as plt
	import numpy as np

	def show_images(images, cols = 1, titles = None):
	"""Display a list of images in a single figure with matplotlib.

	Parameters
	---------
	images: List of np.arrays compatible with plt.imshow.