Weimeng lee (7 risultati)

Condizione: New.

paperback. Condizione: New. Paperback. Pub Date: October 2012 Pages: 241 Language: Chinese in Publisher: Tsinghua University Press Android 3 Android full force brought tablet computing platform! Android Tablet PC Application Development Getting Started classic novice Android fast how to use the Android development tablet applications. The experienced author Wei-Meng Lee first describes how to install the necessary tools and write HelloWorld application. Next. introduce the various components of Android tablet applicatio.…

Condizione: New. Wei-Meng Lee (Singapore) is founder of Developer Learning Solutions, a firm specializing in hands-on training for software developers. He teaches courses in mobile development, blockchain, machine learning, and AI. He is author of a number of books, includi.

paperback. Condizione: New. Paperback. Pub Date: 2015-09-01 Pages: 224 Language: Chinese Publisher: Electronic Industry Press from iOS to AppleWatch: Create new wearable applications with WatchKit a comprehensive introduction to Apple Watch introductory programming knowledge required. the main content Apple Watch programs including architecture. interface navigation. user interface controls. interfaces. display notifications. glance of use and the like. The book provides a wealth of practical examples to help readers ac.…

paperback. Condizione: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: October 2012 Pages: 565 Language: Chinese in Publisher: Tsinghua University Press mobile and embedded development technology iOS 5 introductory programming classic (3): the development of iPhone and iPad application thorough explanation core foundation of the iPhone and iPad application development. including iCloud Programming. Twitter integration. import and export documents in iOS applications. the new Xcode 4. multitasking. new location-based services and notification system. on the fervent hope Apple's mobile devices to develop native applications for beginners. it is a very good tutorial. The book is rich and full. and after learning the book. the reader will be able to confidently build own an iPhone or iPad application. Contents: Chapter 1 iOS 5 Programming Getting Started Chapter 2 write first the Hello World! Chapter 3 of the application view. the first multi-platform support socket variable with action Chapter 4 Chapter 5 view controller iPhone and iPad Chapter 8. Chapter 7. Chapter 6 keyboard input screen rotation using the table view to create and persistent data Chapter 9 using the application preferences Chapter 10 File Handling Chapter 11 using SQLite iCloud programming of database storage Chapter 12 Chapter 13 Bluetooth Programming Chapter 18 Bonjour Programming Web Services Chapter 17 Chapter 19 Chapter 15 visits sensors Chapter 16 simple animation and video playback Chapter 14 to access the built-in applications using Apple Push Notification Service the remote notification Programming Chapter 20 Show map Chapter 21 writing background applications Appendix A test on the actual device Appendix D Appendix C Objective-C Quick Start to Appendix B Xcode Quick Start exercises answerFour Satisfaction guaranteed,or money back.…

paperback. Condizione: New. Paperback. Pub Date: 2012-11-1 Pages: full 2 ??Publisher: Tsinghua University Press Android 4 Advanced Programming (3rd Edition) written by Android experts. covering all the latest content. is learning to use Android 4 SDK ideal guide the development of mobile applications. Insightful book helps experienced Android developers to fully tap the potential of the new features of Android 4. while explaining the basics of Android development. so that beginners can make use of the book entry. As a g.…

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2020-06-01 Pages: 300 Publisher: Tsinghua University Press Python Machine Learning is aimed at newbies in machine learning. The main contents are as follows: Some basic libraries for Python machine learning. including NumPy. Pandas and matplotlib libraries Common machine learning algorithms. including regression. clustering. classification. and anomaly detection Machine learning using Python and Scikit-learn libraries Deploying machine learning models as .…