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#!/bin/bash
###############################################
# To use: 
# wget https://raw.github.com/gist/4411254
# chmod 777 github-ubuntu.sh
# ./github-ubuntu.sh
###############################################

GIT_EMAIL=mark.qj@gmail.com
GIT_USER=qinjie

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#!/bin/sh

sudo yum install -y https://dev.mysql.com/get/mysql57-community-release-el7-11.noarch.rpm
sudo yum install -y mysql-community-client

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#!/bin/bash

if [ -z "$1" ]; then
    echo "waiting for the following arguments: username + max-page-number"
    exit 1
else
    name=$1
fi

if [ -z "$2" ]; then 

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Cheat Sheet for MongoDB Shell Commands

This is a Cheat Sheet for interacting with the Mongo Shell ( mongo on your command line). This is for MongoDB Community Edition.

Preface:

Mongo Manual can help you with getting started using the Shell.

FAQ for MongoDB Fundamentals and other FAQs can be found in the side-bar after visiting that link.

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To copy a file from container to host:

docker cp <containerId>:/file/path/within/container /host/path/target

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Learning Google Apps Script

The best resource for learning Google Script is the official documentation available at developers.google.com. Here are other places that will help you get up to speed.

1. Google Apps Scripts - Snippets by +Amit Agarwal
2. Apps Script Starter - Modern development workflow for building Google Apps Script projects with Babel, Webpack and VS Code.
3. Digital Inspiration by +Amit Agarwal - Google Addons
4. Awesome Google Scripts by +Amit Agarwal
5. O'Reilly - Apps Script - by +James Ferreira
6. Apps Script Webinars - YouTube - by +Eric Koleda

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Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

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#!/usr/bin/python

import os
import sys
import boto3

# get an access token, local (from) directory, and S3 (to) directory
# from the command-line
local_directory, bucket, destination = sys.argv[1:4]

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To build OpenCV3.2 and its extra modules for AWS Lambda Python

Summary

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

Create the OpenCV build environment

sudo yum update -y