“…Over 70 practical recipes to help you create scalable websites using the Django 1.8 framework About This Book This is the latest book on the market that will help you take advantage of the new features added to Django 1.8 This book consists of recipes of varying complexities to help you create multilingual, responsive, and scalable websites with Django This updated edition teaches you major Django functions and will help you improve your skills by developing models, forms, views, and templates Who This Book Is For This book is for intermediate-level and professional Django users who need to build projects that are multilingual, functional on devices of different screen sizes, and that scale over a period of time. …”

“…60 practical recipes that help you gain expertise with Docker networking and understand the underlying constructs that make it all work…”

“…Good knowledge and understanding of Java is preferred to allow efficient programming of the core elements and applications; it would be helpful if readers are familiar with the basics of SQL. …”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Preparatory Steps; Getting started with Jenkins; Extending the basic setup; Jenkins evolution; Continuous Integration with Jenkins; Summary; Chapter 2: Automating the Jenkins UI; Use case scenario 1 - a large number of jobs; Use case scenario 2 - multiple hosts; Use case scenario 3 - helping your users through UI automation; Use case scenario 4 - UI tweaks; Summary; Chapter 3: Jenkins and the IDE; Eclipse and Mylyn; Installing Mylyn; Mylyn and Jenkins configurations…”

“…A solid understanding of SFMC and basic knowledge of what automation is will help you get the most out of this audiobook…”

“…If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you. What You Will Learn Find out how you can identify Big Data problems as Spark problems Install and run Apache Spark on your computer or on a cluster Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets Implement machine learning on Spark using the MLlib library Process continuous streams of data in real time using the Spark streaming module Perform complex network analysis using Spark's GraphX library Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. …”

“…This book has one simple goal: to help you succeed in your next presentation or speech. …”

“…A solid understanding of SFMC and basic knowledge of what automation is will help you get the most out of this book…”