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• Use curl to get the JSON response for the latest release
• Use grep to find the line containing file URL
• Use cut and tr to extract the URL
• Use wget to download it

curl -s https://api.github.com/repos/jgm/pandoc/releases/latest \
| grep "browser_download_url.*deb" \
| cut -d : -f 2,3 \
| tr -d \" \

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Preface

This article walks you through an example of deploying a Python 3.6 application that uses Pandas and AWS S3 on AWS Lambda using Boto3 in Python in 2018. No shell, no bash, no web console, everything is automated in Python. The previous article of a Hello World example can be found here.

Again, the reason to use Python Boto3 to interact with AWS is that,

1. I'm more familiar with Python than Bash, which means a Python script can be more flexible and powerful than Bash for me.
2. I'm not a fun of the AWS web console. It might be easier to do certain things, but it is definitely not automated.

Introduction

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; uninterpreted sort
(declare-sort Elt)
(define-sort Set (Elt) (Array Elt Bool))

; bijection Int <=> Elt
(declare-fun mkint (Int) Elt)
(declare-fun unmkint (Elt) Int)
(assert (forall ((x Int)) (= x (unmkint (mkint x)))))
(assert (forall ((e Elt)) (= e (mkint (unmkint e)))))

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var client = {};

client.run = function (options) {

	options = options || {};


	var socket = io.connect(options.remote || "http://localhost:8080");
	socket.on('connect', function() {
		var term = new Terminal({

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Preface

In general, AWS services can be accessed using

1. AWS web interface,
2. API libraries in a programming language, such as boto3 for Python 3,
3. AWS command-line interface, i.e. awscli.

I opted for the API library since it is

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I pasted it here because it is hard to find for me. It is publicly available at here. The total order and canonical form is clearly presented here over the original ml-ulex paper.

(* reg-exp-fn.sml
 *
 * COPYRIGHT (c) 2005 
 * John Reppy (http://www.cs.uchicago.edu/~jhr)
 * Aaron Turon (adrassi@gmail.com)
 * All rights reserved.

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import org.apache.log4j.*
import grails.util.Holders

myconfig {
    myvariable {
        workdir = 0
    }
}

log4j = {

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{
	"cmd": ["patscc", "$file"],
	"shell": false,
	"selector": "source.ats",
	"env": {
		"PATH": "$PATH:<YOUR ATS BIN DIR>",
		"PATSHOME": "<YOUR PATSHOME>"},
   	"file_regex": "^(.+): \\d+\\(line=(\\d+), offs=(\\d+)\\) -- \\d+\\(line=\\d+, offs=\\d+\\): (.+)",
   	"variants": [
   		{

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import Text.Pandoc.JSON
import System.Directory
import System.FilePath ((</>))
import qualified Data.Hash.MD5 as MD5
import System.IO.Temp
import System.Process
import Control.Monad (unless)

main :: IO ()
main = toJSONFilter mathToSvg

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User Key Bindings

[
	{ "keys": ["end"], "command": "move_to", "args": {"to": "eol"} },
	{ "keys": ["home"], "command": "move_to", "args": {"to": "bol"} },
	{ "keys": ["f3"], "command": "find_next"}
]