Android Pocket Primer

ISBN-13: 9781683920885 / Angielski / Miękka / 2017 / 250 str.

Oswald Campesato

Opis

Android Pocket Primer provides an overview of the latest Android mobile features to developers who are relatively new to this platform and its new Virtual Reality (VR) features. Featuring the new Google Pixel phone, readers will learn about various -core- concepts in Android, and also gain an understanding of how to use many Android APIs. Moreover, the appendices include an extensive set of references for extending your knowledge of Android. This hands-on title includes numerous code samples throughout. The focus is to provide code for Android features (such as buttons, text fields, and media-related APIs) that are likely needed in Android applications. The use of shorter code samples allows for more Android APIs to be included in this book. If you intend to become an expert in Android, this book will provide a -stepping stone- for your journey.

Features
-Gives a detailed overview of various features of the latest Android developments
-Provides code for Android features (such as buttons, text fields, and media-related APIs)
-Includes a chapter on Android VR, TV, and Auto
-Includes companion files with code samples derived in various ways, such as custom code (written by the author), variations of code from the Android documentation, and sections of code from discussions in online forums

Spis treści

1: A Quick Introduction to Android.
2: Design and UI Controls.
3: Additional UI Controls.
4: Graphics and Animation.
5: User Gestures.
6: Sensors and MultiMedia.
7: Data Storage and File I/O.
8: Services and Broadcast Receivers.
9: Android VR, TV, and Auto, and Things.
10: Functional Reactive Programming.
Appendices.
A. Threads and Networking
B. Performance and Debugging.
C. Miscellaneous.
Index.

O autorze

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).