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   系統號碼966405
   書刊名App development using iOS iCloud [electronic resource] : build high-performance apps with Swift /
   主要著者Baruah, Shantanu.
   其他著者Baruah, Shaurya.
   出版項Berkeley, CA : Imprint: Apress, 2024.
   索書號QA76.585.B37 2024
   ISBN9798868809446
   標題iCloud.
iOS (Electronic resource)
Cloud computing.
Swift (Computer program language)
Application software-Development.
Apple and iOS.
   電子資源https://doi.org/10.1007/979-8-8688-0944-6
   
    
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內容簡介Create a professional looking app from start to finish that takes advantage of iCloud technology. Rather than working with Storyboarding for building your UI, you'll use code to build professional looking screens. Using code is standard for professional developers to fit form factor alignment across multiple screen sizes and other design constraints. First, you'll build a basic, functional UX screen. Then you'll incorporate iCloud with CloudKit for data persistence and private, public, and shared databases. Here your code-drive UI design will expand out to developing professional looking screens with animation. You'll also learn to work with reminder and notification boxes, sharing data between your users, and adding functionally for interaction with other Apps. Finally, you'll tackle testing and using Test Flight before publishing your app to the App Store. This book offers a practical guide for coders at any level who want to learn and create professional looking iOS apps leveraging the database features of iCloud and the numerous extensions that Apple provides in the Xcode environment. Create professional looking apps that are secure and your users will love! This is the second version of App Development using iOS iCloud, which offers comprehensive coverage of iOS 17's changes, empowering you to create efficient, user-friendly applications. Build cutting-edge iOS apps with the latest iCloud features! What You'll Learn ·Build a real-world chat app to solidify your learning and discover the power of push notifications ·Leverage iOS 17's new features ·Master iCloud database operations.

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