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REST – What You Didn't Know

Nowadays, topics such as cloud computing and mobile device service feeds, and other data sources being powered by cutting-edge, scalable, stateless, and modern technologies such as RESTful web services, leave the impression that REST has been invented recently. Well, to be honest, it is definitely not! In fact, REST was defined at the end of the 20th century. This article by Valentin Bojinov , author of the book RESTful Web API Design with Node.js , will walk you through REST's history and will teach you how REST couples with the HTTP protocol. You will look at the five key principles that need to be considered while turning an HTTP application into a RESTful-service-enabled application. You will also look at the differences between RESTful and SOAP-based services. Finally, you will learn how to utilize already existing infrastructure for your benefit. In this article, we will cover the following topics: A brief history of REST REST with HTTP RESTful versus SOAP-based services Taking advantage of existing infrastructure

Creating Custom Reports and Notifications for vSphere

In this article by Philip Sellers , the author of  PowerCLI Cookbook , you will cover the following topics: Getting alerts from a vSphere environment Basics of formatting output from PowerShell objects Sending output to CSV and HTML Reporting VM objects created during a predefined time period from VI Events object Setting custom properties to add useful context to your virtual machines Using PowerShell native capabilities to schedule scripts

Handling Image and Video Files

This article written by Gloria Bueno García , Oscar Deniz Suarez , José Luis Espinosa Aranda , Jesus Salido Tercero , Ismael Serrano Gracia , and Noelia Vállez Enanois , the authors of Learning Image Processing with OpenCV , is intended as a first contact with OpenCV, its installation, and first basic programs. We will cover the following topics: A brief introduction to OpenCV for the novice, followed by an easy step-by-step guide to the installation of the library A quick tour of OpenCV's structure after the installation in the user's local disk Quick recipes to create projects using the library with some common programming frameworks How to use the functions to read and write images and videos

Classifying with Real-world Examples

This article by the authors, Luis Pedro Coelho and Willi Richert , of the book, Building Machine Learning Systems with Python - Second Edition , focuses on the topic of classification . You have probably already used this form of machine learning as a consumer, even if you were not aware of it. If you have any modern e-mail system, it will likely have the ability to automatically detect spam. That is, the system will analyze all incoming e-mails and mark them as either spam or not-spam. Often, you, the end user, will be able to manually tag e-mails as spam or not, in order to improve its spam detection ability. This is a form of machine learning where the system is taking examples of two types of messages: spam and ham (the typical term for "non spam e-mails") and using these examples to automatically classify incoming e-mails. The general method of classification is to use a set of examples of each class to learn rules that can be applied to new examples. This is one of the most important machine learning modes and is the topic of this article. Working with text such as e-mails requires a specific set of techniques and skills. For the moment, we will work with a smaller, easier-to-handle dataset. The example question for this article is, "Can a machine distinguish between flower species based on images?" We will use two datasets where measurements of flower morphology are recorded along with the species for several specimens. We will explore these small datasets using a few simple algorithms. At first, we will write classification code ourselves in order to understand the concepts, but we will quickly switch to using scikit-learn whenever possible. The goal is to first understand the basic principles of classification and then progress to using a state-of-the-art implementation.

Introducing GameMaker

In this article by Nathan Auckett , author of the book GameMaker Essentials , you will learn what GameMaker is all about, who made it, what it is used for, and more. You will then also be learning how to install GameMaker on your computer that is ready for use.

Category Theory

In this article written by Dan Mantyla , author of the book Functional Programming in JavaScript , you would get to learn about some of the JavaScript functors such as Maybes, Promises and Lenses.

GPS-enabled Time-lapse Recorder

In this article by Dan Nixon , the author of the book  Raspberry Pi Blueprints , we will see the recording of time-lapse captures using the Raspberry Pi camera module. One of the possible uses of the Raspberry Pi camera module is the recording of time-lapse captures, which takes a still image at a set interval over a long period of time. This can then be used to create an accelerated video of a long-term event that takes place (for example, a building being constructed). One alteration to this is to have the camera mounted on a moving vehicle. Use the time lapse to record a journey; with the addition of GPS data, this can provide an interesting record of a reasonably long journey. In this article, we will use the Raspberry Pi camera module board to create a location-aware time-lapse recorder that will store the GPS position with each image in the EXIF metadata. To do this, we will use a GPS module that connects to the Pi over the serial connection on the GPIO port and a custom Python program that listens for new GPS data during the time lapse. For this project, we will use the Raspbian distribution.

SpriteKit Framework and Physics Simulation

In this article by Bhanu Birani , author of the book iOS Game Programming Cookbook , you will learn about the SpriteKit game framework and about the physics simulation.

Sharing Your Story

In this article by Ashley Chiasson , author of the book Articulate Storyline Essentials , we will see how to preview your story.

Evidence Acquisition and Analysis from iCloud

This article by Mattia Epifani and Pasquale Stirparo , the authors of the book, Learning iOS Forensics , introduces the cloud system provided by Apple to all its users through which they can save their backups and other files on remote servers. In the first part of this article, we will show you the main characteristics of such a service and then the techniques to create and recover a backup from iCloud.

Understanding Core Data concepts

In this article by Gibson Tang and Maxim Vasilkov , authors of the book Objective-C Memory Management Essentials , you will learn what Core Data is and why you should use it.

Finding People and Things

In this article by Richard M Reese , author of the book Natural Language Processing with Java , we will see how to use NLP APIs.

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