Android Quick Apis Reference
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Android Quick Apis Reference
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Author : Onur Cinar
language : en
Publisher:
Release Date : 2015
Android Quick Apis Reference written by Onur Cinar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
The Android Quick APIs Reference is a condensed code and APIs reference for the new Google Android 5.0 SDK. It presents the essential Android APIs in a well-organized format that can be used as a handy reference. You won't find any technical jargon, bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a software development kit and APIs reference that is concise, to the point and highly accessible. The book is packed with useful information and is a must-have for any mobile or Android app developer or programmer. In the Android Quick APIs Reference, you will find a concise reference to the Android SDK and its APIs using the official Android Studio IDE. This reference is small and handy and ideal for taking with you to your appointments with your clients.
Android Quick Apis Reference
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Author : Onur Cinar
language : en
Publisher: Apress
Release Date : 2015-02-03
Android Quick Apis Reference written by Onur Cinar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-03 with Computers categories.
The Android Quick APIs Reference is a condensed code and APIs reference for the new Google Android 5.0 SDK. It presents the essential Android APIs in a well-organized format that can be used as a handy reference. You won’t find any technical jargon, bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a software development kit and APIs reference that is concise, to the point and highly accessible. The book is packed with useful information and is a must-have for any mobile or Android app developer or programmer. In the Android Quick APIs Reference, you will find a concise reference to the Android SDK and its APIs using the official Android Studio IDE. This reference is small and handy and ideal for taking with you to your appointments with your clients.
Expert Android
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Author : Satya Komatineni
language : en
Publisher: Apress
Release Date : 2013-08-24
Expert Android written by Satya Komatineni and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-24 with Computers categories.
From the leading publisher of Android books, Apress’ Expert Android gives you advanced techniques for customizing views, controls, and layouts. You’ll learn to develop apps in record time using JSON, Advanced Form Processing, and the BaaS (Backend As A Service) platform Parse. The book also includes extensive coverage on OpenGL, Search, and Telephony. With these advanced and time saving technologies you’ll be able to release compelling mobile applications in Google Play and the Amazon Appstore at a rapid pace. In Expert Android, you’ll learn to: Borrow, reuse, or build custom Android UI components Create 3D experiences using OpenGL ES 2.0 Write collaborative applications in the Parse cloud and communicate with your app user community through Parse Push Technology Reduce the time-to-market while creating rock solid apps for multiple devices Whether you are an individual or enterprise developer, in Expert Android you’ll find the advanced techniques and practices to take your mobile apps to the next level. Regardless of the Android release, this book serves as your definitive, capstone reference for your Apress Android experience.
Android Wearable Programming
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Author : Steven F. Daniel
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-07-30
Android Wearable Programming written by Steven F. Daniel and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-30 with Computers categories.
This book will introduce you to the very popular Android Wear platform with hands-on instructions for building Android Wear applications. You will start with an introduction to the architecture of Android, followed by an in-depth look at the design of Android applications and user interfaces using Android Studio. You will see how to create basic and custom notifications for your apps, and synchronize data from the wearable device with the handheld mobile device. More advanced topics such as intents, the Gradle build configuration and the implementation of build variants, and packaging and deploying from a single project code base are also covered. By the end of this book, you will have a good understanding of wearable programming, and be confident enough to write programs for building Android applications that run on Android Wear.
Sams Teach Yourself Android Application Development In 24 Hours
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Author : Lauren Darcey
language : en
Publisher: Sams Publishing
Release Date : 2012
Sams Teach Yourself Android Application Development In 24 Hours written by Lauren Darcey and has been published by Sams Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
"Full color; sample code provided on enclosed CD"--Cover.
Android Wireless Application Development Volume Ii Barnes Noble Special Edition
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Author : Lauren Darcey
language : en
Publisher: Pearson Education
Release Date : 2013-04-30
Android Wireless Application Development Volume Ii Barnes Noble Special Edition written by Lauren Darcey and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-30 with Computers categories.
Android Wireless Application Development has earned a reputation as the most useful real-world guide to building robust, commercial-grade Android apps. To accommodate their extensive new coverage, the authors have split the book into two leaner, cleaner volumes. This Volume II focuses on advanced techniques for the entire app development cycle, covers hot topics ranging from tablet development to protecting against piracy, and demonstrates advanced techniques for everything from data integration and UI development to in-app billing. Every chapter has been thoroughly updated to reflect the latest SDKs, tools, and devices. The sample code has been completely overhauled and is available on the CD. Drawing on decades of in-the-trenches experience as professional mobile developers, the authors also provide even more tips and best practices for highly efficient development. This new edition covers Advanced app design with async processing, services, SQLite databases, content providers, intents, and notifications Sophisticated UI development, including input gathering via gestures and voice recognition Developing accessible and internationalized mobile apps Maximizing integrated search, cloud-based services, and other exclusive Android features Leveraging Android 4.0 APIs for networking, web, location services, the camera, telephony, and hardware sensors Building richer apps with 2D/3D graphics (OpenGL ES and RenderScript), animation, and the Android NDK Tracking app usage patterns with Google Analytics Streamlining testing with the Android Debug Bridge This book is an indispensable resource for every intermediate- to advanced-level Java developer now participating in Android development and for every seasoned mobile developer who wants to take full advantage of the newest Android platform and hardware. This book includes a fully functional application and two exclusive appendices: a rundown of the Java syntax commonly used in Android and a walkthrough of the application. About the CD-ROM: The accompanying CD-ROM contains all the sample code that is presented in the book, organized by chapter.
Migrating To Android For Ios Developers
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Author : Sean Liao
language : en
Publisher: Apress
Release Date : 2014-07-18
Migrating To Android For Ios Developers written by Sean Liao and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-18 with Computers categories.
Migrating to Android for iOS Developers gives you—as an experienced native iOS app developer—the skills to learn native Android apps development from scratch. Starting with preparing your Android integrated development environment and introducing just enough Android application framework fundamentals, you’ll understand how to create a simple but meaningful HelloAndroid project immediately. This book provides the guidelines and tutorial projects to show you how to translate your existing iOS app to the Android platform. You’ll use your mobile app knowledge to structure your Android apps in a similar way to how you would structure your iOS apps. To implement use cases with detailed screens, the most common mobile topics are discussed, including user interfaces, managing data, and networking with remote services. As you move through the book, you’ll create Android apps with rich UI components to handle common CRUD operations locally and remotely. There are many Android goodies described in the book. Instead of relying on routine text descriptions, you’ll discover the uniqueness of Android and appreciate the many features that are unique to the platform. This book also explores more powerful mobile UX patterns that are commonly used on the iOS and Android platforms. When you finish reading Migrating to Android for iOS Developers, you’ll be an Android developer as well as an iOS developer. And, you will be fully convinced you can do everything in Android that you can do in iOS.
Intelligent Mobile Projects With Tensorflow
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Author : Jeff Tang
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-22
Intelligent Mobile Projects With Tensorflow written by Jeff Tang and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-22 with Computers categories.
Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning Get practical insights and exclusive working code not available in the TensorFlow documentation Book Description As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. What you will learn Classify images with transfer learning Detect objects and their locations Transform pictures with amazing art styles Understand simple speech commands Describe images in natural language Recognize drawing with Convolutional Neural Network and Long Short-Term Memory Predict stock price with Recurrent Neural Network in TensorFlow and Keras Generate and enhance images with generative adversarial networks Build AlphaZero-like mobile game app in TensorFlow and Keras Use TensorFlow Lite and Core ML on mobile Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn Who this book is for If you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.
Android Wireless Application Development
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Author : Shane Conder
language : en
Publisher: Addison-Wesley Professional
Release Date : 2012
Android Wireless Application Development written by Shane Conder and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
The authors offer a learning resource to anyone who wishes to become a mobile developer using the Android platform. The text covers application design, development, debugging, packaging, distribution & much more.
Pytorch Pocket Reference
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Author : Joe Papa
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-11
Pytorch Pocket Reference written by Joe Papa and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-11 with Computers categories.
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers. Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network development-from loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, Google Cloud, or Azure and deploy your ML models to mobile and edge devices. Learn basic PyTorch syntax and design patterns Create custom models and data transforms Train and deploy models using a GPU and TPU Train and test a deep learning classifier Accelerate training using optimization and distributed training Access useful PyTorch libraries and the PyTorch ecosystem