Dreamsome onesuper

SpotFleets

The following code will request an AWS SpotFleet with the specified parameters.

Credentials

By default credentials will be located using boto3's built-in enumeration mechanism. The easiest way to ensure that credentials are available is to either use environment variables, or ensure there is a ~/.aws/credentials file for the user running this script.

Required Code Changes

Some of the Redis best practices content has moved

This content from this markdown file has moved a new, happier home where it can serve more people. Please check it out : https://docs.microsoft.com/azure/azure-cache-for-redis/cache-best-practices.

NOTE: Client specific guidance listed below is still valid and should still be considered. I will update this document once all content has been moved.

Apache Spark installation + ipython/jupyter notebook integration guide for macOS

Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112

For older versions of Spark and ipython, please, see also previous version of text.

	# coding=utf-8
	# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
	#
	# 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

	#!/usr/bin/env python
	import json
	import copy
	import sys
	import argparse
	from datetime import datetime, timedelta
	from subprocess import Popen, PIPE


	# dictionary of partiton names to variable generating functions

	<?xml version="1.0" encoding="UTF-8"?>

	<opml version="1.0">
	<head>
	<title>Stephen subscriptions in feedly Cloud</title>
	</head>
	<body>
	<outline text="Companies" title="Companies">
	<outline type="rss" text="Trello" title="Trello" xmlUrl="https://trello.engineering/feed.xml" htmlUrl="http://tech.trello.com/"/>
	<outline type="rss" text="IMVU" title="IMVU" xmlUrl="http://engineering.imvu.com/feed/" htmlUrl="https://engineering.imvu.com"/>

	package org.cakesolutions.spark

	import org.apache.spark.SparkConf
	import org.apache.spark.api.java.JavaSparkContext
	import scala.Tuple2


	fun main(args: Array<String>) {
	val inputFile = args[0]
	val outputFile = args[1]

	import pandas as pd
	from boto3 import client

	client = client(service_name='ec2')
	prices = client.describe_spot_price_history(InstanceTypes=["m3.medium"],
	AvailabilityZone="us-east-1a")
	df = pd.DataFrame(prices['SpotPriceHistory'])

	df.set_index("Timestamp", inplace=True)
	df["SpotPrice"] = df.SpotPrice.astype(float)

	<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
	<modelVersion>4.0.0</modelVersion>
	<groupId>com.avro.is.great</groupId>
	<artifactId>protobuff-avro-demo</artifactId>
	<packaging>jar</packaging>
	<version>1.0-SNAPSHOT</version>
	<name>Demo of protobuff integration with Avro</name>
	<build>
	<plugins>