Josemar Magalhaes josemarjobs

UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.

Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/

Docker CE Install

sudo amazon-linux-extras install docker
sudo service docker start

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

How do POST file with curl??

You can post a json file with curl like so:

curl -X POST -H "Content-Type: application/json" -d @FILENAME DESTINATION

so for example:

Link to these links: https://git.io/vKSVZ

Module 1:

Run jenkins from war file: jenkins -jar jenkins.war
Run jenkins from docker:

docker run -d \
           --restart unless-stopped \
           --name jenkins \

	/*
	* Copyright (C) 2017 The Android Open Source Project
	*
	* Licensed under the Apache License, Version 2.0 (the "License");
	* you may not use this file except in compliance with the License.
	* You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	*
	* Unless required by applicable law or agreed to in writing, software

	package main

	import (
	"io/ioutil"
	"log"
	"strings"
	"net/http"
	"encoding/json"
	"fmt"
	"time"

	require 'rails_helper'

	RSpec.describe TodosController, :type => :controller do

	describe "GET #index" do
	#describe "POST #create" do
	#describe "GET #show" do
	#describe "PATCH #update" do (or PUT #update)
	#describe "DELETE #destroy" do
	#describe "GET #new" do

	stage 'CI'
	node {

	git branch: 'jenkins2-course',
	url: 'https://github.com/g0t4/solitaire-systemjs-course'

	// pull dependencies from npm
	// on windows use: bat 'npm install'
	sh 'npm install'

	import os
	import struct
	import numpy as np

	"""
	Loosely inspired by http://abel.ee.ucla.edu/cvxopt/_downloads/mnist.py
	which is GPL licensed.
	"""

	def read(dataset = "training", path = "."):

	class BayesianClassifier:
	def __init__(self, **kwargs):
	self.label1 = str(kwargs['label1']).lower()
	self.label2 = str(kwargs['label2']).lower()

	def dump(self):
	print("Mean 1:",self.mu1)
	print("Mean 2:",self.mu2)
	print("Covariance Matrix 1:",self.cov1)
	print("Covariance Matrix 2:",self.cov2)