drmikecrowe

#!/usr/bin/env bash

function install {
    FILE="$2"
    URL="$1/$FILE"
    wget $URL -O $FILE
    sudo gdebi $FILE
    rm $FILE
}

ericmjl

UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli. Please find it here: https://github.com/ericmjl/pyds-cli

How to organize your Python data science project

Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.

Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.

Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!

willh

AWS DeepLens factory reset steps followed:

Get Ubuntu and microSD card set up using AWS forum supplied instructions
https://s3.amazonaws.com/deeplens-public/factory-restore/DeepLens_System_Restore_Instruction.pdf

Pre-requisites: borked DeepLens in need of restore
                keyboard
                micro HDMI cable
                monitor
                bootable Ubuntu live USB

jgautheron

      Tags:
      - Key: Name
        Value:
          !Join ['_', [ ec2, "Fn::ImportValue" : {"Fn::Sub":'${BaseStackName}-Environment'}, test2]]
          #This will create a name tag with value: ec2_<yourValueFromOtherStack>_test2

pahud

specify the region

export AWS_DEFAULT_REGION=ap-northeast-1
aws logs describe-log-groups --query 'logGroups[*].logGroupName' --output table | \
awk '{print $2}' | grep -v ^$ | while read x; do  echo "deleting $x" ; aws logs delete-log-group --log-group-name $x; done

only delete loggroup name starting with /aws/lambda

stevenringo

Sessions

Code	Title	Duration	Link
Keynote	Andy Jassy Keynote Announcement Recap	0:01	https://www.youtube.com/watch?v=TZCxKAM2GtQ
Keynote	AWS re:Invent 2016 Keynote: Andy Jassy	2:22	https://www.youtube.com/watch?v=8RrbUyw9uSg
Keynote	AWS re:Invent 2016 Keynote: Werner Vogels	2:16	https://www.youtube.com/watch?v=ZDScBNahsL4
Keynote	[Tuesday Night Live with Jame

mpneuried

# import config.
# You can change the default config with `make cnf="config_special.env" build`
cnf ?= config.env
include $(cnf)
export $(shell sed 's/=.*//' $(cnf))

# import deploy config
# You can change the default deploy config with `make cnf="deploy_special.env" release`
dpl ?= deploy.env
include $(dpl)

olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

fcoury

A Guide to Encrypting Files with Mac OS X

This guide will demonstrate the steps required to encrypt and decrypt files using OpenSSL on Mac OS X. The working assumption is that by demonstrating how to encrypt a file with your own public key, you'll also be able to encrypt a file you plan to send to somebody else using their private key, though you may wish to use this approach to keep archived data safe from prying eyes.

Too Long, Didn't Read

Assuming you've already done the setup described later in this document, that id_rsa.pub.pcks8 is the public key you want to use, that id_rsa is the private key the recipient will use, and secret.txt is the data you want to transmit…

Encrypting

$ openssl rand 192 -out key

$ openssl aes-256-cbc -in secret.txt -out secret.txt.enc -pass file:key

shawnsi

#!/usr/bin/env python

from __future__ import print_function
import requests

def merge_prefixes(payload):
    """
    Converts the AWS services JSON payload into a list of tuples.

    Arguments: