Welcome!

Machine Learning Authors: Yeshim Deniz, Zakia Bouachraoui, Pat Romanski, Elizabeth White, Liz McMillan

Related Topics: Wearables, Java IoT, Industrial IoT, Microservices Expo, Microsoft Cloud, Machine Learning

Wearables: Book Review

Book Review: iOS Components and Frameworks

Understanding the Advanced Features of the iOS SDK

When I first started flipping through this book the diverse set of topics threw me for a loop. Then I read the introduction where the authors say, "This publication aims to provide development information on the intermediate-to-advanced topics that are otherwise not worthy of standalone books. It’s not that the topics are uninteresting or lackluster, it’s that they are not large enough topics."

This book covers a wide variety of topics, and it covers them in enough detail that you have a good understanding of them by the end of the chapter. Only Game Center and Core Data are covered in more than one chapter. The book is not a cover to cover read, but rather a pure reference.

I have listed the chapters below to show you what is covered.

1. UIKit Dynamics
2. Core Location, MapKit, and Geofencing
3. Leaderboards
4. Achievements
5. Getting Started with Address Book
6. Working with Music Libraries
7. Working with and Parsing JSON
8. Getting Started with iCloud
9. Notifications
10. Bluetooth Networking with Game Kit
11. AirPrint
12. Core Data Primer
13. Getting Up and Running with Core Data
14. Language Features
15. Integrating Twitter and Facebook Using Social Framework
16. Working with Background Tasks
17. Grand Central Dispatch for Performance
18. Using Keychain to Secure Data
19. Working with Images and Filters
20. Collection Views
21. Introduction to TextKit
22. Gesture Recognizers
23. Accessing Photo Libraries
24. Passbook and PassKit
25. Debugging and Instruments

One thing that you should be made aware of is that the authors decided to present all their examples in the book without using Automatic Reference Counting (ARC). At the time of this review all the chapters have non-ARC code samples are available, and only 9 of them have sample code using ARC.

They said the reason for not using ARC is that it is easier to mentally remove the memory management than to add it. Personally I find it annoying, but it isn't that big of a deal. The authors do cover ARC in chapter 14 along with literals, properties, blocks, fast enumeration, and method swizzling.

The authors' writing styles make the topics easy reads, and they do a great job of explaining things, but this book is for someone very comfortable with iOS, Xcode, Objective-C, the Developer's Portal, iTunes Connect, and Instruments. Although the authors do cover some of the basics in a few chapters, and includes a primer on Core Data, most of the topics assume the reader has some prior working knowledge about the topic at hand.

Over all I found this book worth the shelf space. I had an immediate need for more information on a few of the topics they included in the book and was satisfied with the coverage they included. I did have to dig for more information on the topics, but I had solid ground to stand on and knew what else I needed to find.

If you are an iOS developer, and are using Xcode, this book will at some point offer you information on a topic you need to get your head around quickly.

iOS Components and Frameworks: Understanding the Advanced Features of the iOS SDK

More Stories By Tad Anderson

Tad Anderson has been doing Software Architecture for 18 years and Enterprise Architecture for the past few.

CloudEXPO Stories
Headquartered in Plainsboro, NJ, Synametrics Technologies has provided IT professionals and computer systems developers since 1997. Based on the success of their initial product offerings (WinSQL and DeltaCopy), the company continues to create and hone innovative products that help its customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business or personal computing needs.
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by researching target group and involving users in the designing process.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to advisory roles at startups. He has worked extensively on monetization, SAAS, IoT, ecosystems, partnerships and accelerating growth in new business initiatives.
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like "How is my application doing" but no idea how to get a proper answer.
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed by some of the world's largest financial institutions. The company develops and applies innovative machine-learning technologies to big data to predict financial, economic, and world events. The team is a group of passionate technologists, mathematicians, data scientists and programmers in Silicon Valley with over 100 patents to their names. Big Data Federation was incorporated in 2015 and is ...