Develop highly efficient and appealing iOS applications by using the Swift languageAbout This Book Develop a series of applications with Swift using the development kits and new/updated APIsUse the new features of iOS 8 to add new flavor to your applicationsA hands-on guide with detailed code snippets to aid you in developing powerful Swift applicationsWho This Book Is For

If you are an iOS developer with experience in Objective-C, and wish to develop applications with Swift, then this book is ideal for you. Familiarity with the fundamentals of Swift is an added advantage but not a necessity. What You Will Learn Use playgrounds in Xcode to make the writing of Swift code productive and easyGet acquainted with the advanced features of Swift and make complete use of them in your codeAdd a new method for authentication to your app using Touch IDDevelop health-related apps using HealthKitTake your apps to the next level of performance and capability using MetalDevelop applications for wearables using WatchKitUse Notification Center to easily access all your notificationsMake your users devices more stylish by using Apple's built-in Quick Type keyboard, instead of the native oneIn Detail

After years of using Objective-C for developing apps for iOS/Mac OS, Apple now offers a new, creative, easy, and innovative programming language for application development, called Swift. Swift makes iOS application development a breeze by offering speed, security and power to your application development process. Swift is easy to learn and has awesome features such as being open source, debugging,interactive playgrounds, error handling model, and so on. Swift has simplified its memory management with Automatic Reference Counting (ARC) and it is compatible with Objective-C.

This book has been created to provide you with the information and skills you need to use the new programming language Swift. The book starts with an introduction to Swift and code structure. Following this, you will use playgrounds to become familiar with the language in no time. Then the book takes you through the advanced features offered by Swift and how to use them with your old Objective-C code or projects. You will then learn to use Swift in real projects by covering APIs such as HealthKit, Metal, WatchKit, and Touch ID in each chapter. The book's easy to follow structure ensures you get the best start to developing applications with Swift. Style and approach

The book achieves its end goal by dividing its content into two parts. Part 1 will take the readers, who are new to Swift, through its architecture and basics. Part 2 of the book will cover content on application development with Swift.

No matter what language you are familiar with, this book will benefit you. Beginning with a rapid introduction to PHP's syntax and basic functionality, you will swiftly understand PHP. The book then steers you toward advanced issues, like PHP's role in database manipulation, sessions, and user interactivity.

Author W.J. Gilmore also examines how PHP can work with XML, JavaScript, and the Component Object Model (COM). He loads the book with practical examples and several projects that can be immediately incorporated on any website. The invaluable A Programmer's Introduction to PHP 4.0 shows you how to make the most of PHP's powerful capabilities, regardless of your current scope of PHP knowledge.

· In-depth coverage of modern digital implementations of frequency synthesis architectures
· Numerous design examples drawn from actual engineering projects
· The accompanying CD includes digital frequency synthesis design tools and an electronic version of the book

Digital frequency synthesis is used in modern wireless and communications technologies such as radar, cellular telephony, satellite communications, electronic imaging, and spectroscopy. This is book is a comprehensive overview of digital frequency synthesis theory and applications, with a particular emphasis on the latest approaches using fractional-N phase-locked loop technology. The design tools in the accompany CD allow readers to work through the examples in this book for a realistic simulation of actual design using digital frequency synthesis.

· In-depth coverage of modern digital implementations of frequency synthesis architectures
· Numerous design examples drawn from actual engineering projects
· The accompanying CD includes digital frequency synthesis design tools and an electronic version of the book

Key Features Install, administer, and maintain your Raspberry PiExplore a new world of computing with this low cost, credit-card sized computerConnect your Raspberry Pi to other devices on local networks and utilise IoT servicesBook Description

With increasing interest in Maker Projects and the Internet of Things (IoT), students, scientists, and hobbyists are using the Raspberry Pi as a reliable, inexpensive platform to connect local devices to Internet services.

This book begins with recipes that are essential to installing the Raspberry Pi and configuring it for network access. Then it continues with recipes on installing common networking services such as firewalls and file sharing.

The final chapters include recipes for network monitoring, streaming data from the Raspberry Pi to IoT services, and using clusters of Raspberry Pis to store and analyze large volumes of data. What you will learn Install, update, and upgrade your Raspberry PIConfigure a firewall to protect your Raspberry Pi and other devices on your local area networkSet up file sharing, remote access, a web server, and your own wikiCreate a wireless access point and use it as an Internet gatewayStream video, audio, and local device data to IoT services as well as your own websitesControl devices connected to the Raspberry Pi from your phone via the webCreate a giant video wall using multiple monitors and Raspberry PisAbout the Author

Rick Golden, in the summer of 1972, sat in the computer lab at SUNY Fredonia and completed his first CAI tutorial on programming in APL. He was 9 years old then.

He has been programming computers for over 40 years. He has designed and developed a multitude of projects, from low-level graphics and database drivers to large-volume e-commerce platforms.

At work, Rick is currently focused on developing software to improve healthcare by mining petabytes of healthcare claims to find opportunities to improve healthcare coordination. After work, Rick teaches 10-14 year olds how to program using Raspberry Pi computers. Table of Contents Installation and SetupAdministrationMaintenanceFile SharingAdvanced NetworkingIoT – Internet of ThingsClustering

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. 
The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you’ll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision.
After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work.
What You Will LearnUnderstand what computer vision is, and its overall application in intelligent automation systems
Discover the deep learning techniques required to build computer vision applications
Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy
Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis

Who This Book Is ForThose who have a basic understanding of machine learning and Python and are looking to learn computer vision and its applications.

This book has been created for data scientists who want to see machine learning in action and explore its real-world application. With guidance on everything from the fundamentals of machine learning and predictive analytics to the latest innovations set to lead the big data revolution into the future, this is an unmissable resource for anyone dedicated to tackling current big data challenges. Knowledge of programming (Python and R) and mathematics is advisable if you want to get started immediately.

Over 70 hands-on recipes for professional embedded Linux developers to optimize and boost their Yocto know-howAbout This Book Explore best practices for all embedded product development stagesUse what is quickly becoming the standard embedded Linux product builder framework, the Yocto ProjectEasy to follow guide to solve all your project woesWho This Book Is For

If you are an embedded developer learning about embedded Linux with some experience with the Yocto project, this book is the ideal way to become proficient and broaden your knowledge with examples that are immediately applicable to your embedded developments. Experienced embedded Yocto developers will find new insight into working methodologies and ARM specific development competence. In Detail

The embedded Linux world is standardizing around Yocto Project as the best integration framework to create reliable embedded Linux products. Yocto Project effectively shortens the time it takes to develop and maintain an embedded Linux product, and it increases its reliability and robustness by using proven and tested components.

This book begins with the installation of a professional embedded Yocto setup, then advises you on best practices, and finally explains how to quickly get hands on with the Freescale ARM ecosystem and community layer, using the affordable and open source Wandboard embedded board.

"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." — Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.

Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Bring a new degree of interconnectivity to your world by building your own intelligent robotsKey Features Leverage fundamentals of AI and roboticsWork through use cases to implement various machine learning algorithmsExplore Natural Language Processing (NLP) concepts for efficient decision making in robotsBook Description

Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills.

As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks.

By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence. What you will learn Get started with robotics and artificial intelligenceApply simulation techniques to give your robot an artificial personalityUnderstand object recognition using neural networks and supervised learning techniquesPick up objects using genetic algorithms for manipulationTeach your robot to listen using NLP via an expert systemUse machine learning and computer vision to teach your robot how to avoid obstaclesUnderstand path planning, decision trees, and search algorithms in order to enhance your robotWho this book is for

If you have basic knowledge about robotics and want to build or enhance your existing robot's intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics. Table of Contents Foundation for Advanced Robotics and AISetting Up Your RobotA Concept for a Practical Robot Design ProcessObject Recognition Using Neural Networks and Supervised LearningPicking up the ToysTeaching a Robot to ListenAvoiding the StairsPutting Things AwayGiving the Robot an Artificial PersonalityConclusions and ReflectionsAssessments

Learn Processing with exciting and engaging projects to make your computer talk, see, hear, express emotions, and even design physical objects

OverviewTeach your computer to create physical objects, visualize data, and program a custom hardware controllerCreate projects that can be run on a variety of platforms, ranging from desktop computers to Android smartphonesEach chapter presents a complete project and guides you through the implementation using easy-to-follow, step-by-step instructions

In Detail

Processing makes it convenient for developers, artists, and designers to create their own projects easily and efficiently. Processing offers you a platform for expressing your ideas and engaging audiences in new ways. This book teaches you everything you need to know to explore new frontiers in animation and interactivity with the help of Processing.

"Processing 2: Creative Coding Hotshot' will present you with nine exciting projects that will take you beyond the basics and show you how you can make your programs see, hear, and even feel! With these projects, you will also learn how to build your own hardware controllers and integrate devices such as a Kinect senor board in your Processing sketches.

Processing is an exciting programming environment for programmers and visual artists alike that makes it easier to create interactive programs.

Through nine complete projects, "Processing 2: Creative Coding Hotshot" will help you explore the exciting possibilities that this open source language provides. The topics we will cover range from creating robot - actors performing Shakespeare's "Romeo and Juliet", to generating objects for 3D printing, and you will learn how to run your processing sketches nearly anywhere from a desktop computer to a browser or a mobile device.

What you will learn from this bookMake your computer see, hear, and feel with ProcessingHave fun with entertaining projects while learning new tricks with ProcessingUse Processing to teach a pair of cardboard robots to enact famous playsWrite code you can run on a variety of devices ranging from your desktop computer to your Android smartphoneLearn to build a custom hardware controller and control it using ProcessingUse Processing to create motion sensor games you can play using your KinectDesign objects you can print using a 3D printer with Processing

Approach

Using a project-based approach, you will be able to learn the coolest aspects of working with Processing. Each project contains step-by-step explanations, diagrams, screenshots, and downloadable material to make learning Processing even easier.

Who this book is written for

This book targets Processing developers ,visual artists, creative professionals, and students who want to move to the next level of learning Processing for gaining inspiration, work, or just for fun. The book assumes a basic understanding of programming. However, this book is also recommended to non-artistic readers, looking to expand their graphics and develop their creativity.

Concentrating on the Win32 C APIs that power the new Microsoft Windows CE 3.0 operating system, Windows CE 3.0 Application Programming provides an essential resource for anyone developing software for handheld devices. Filled with plenty of short sample code written in C (with some C++), this book shows what's different on the latest small footprint platform.

The focus on the APIs themselves is what sets this apart from many programming tutorials. Though there is a discussion of several higher-level techniques—like working with Unicode strings or doing memory management on the Windows CE platform—this book uses a solid and somewhat traditional approach to showing what features exist in this new OS. Section by section, the book walks you through the essential areas of API, from using files to network resources, as well as plenty of coverage of Windows CE features, including using property databases, the Pocket Office Object Model (POOM), ActiveSync, and CE versions of other Microsoft technologies (such as ADOCE and SQL Server CE for database programming).

Oddly, the book doesn't mention user interface programming. Though some Pocket PC devices do not even have interfaces, many do. This omission makes this text more about systems programming for Window CE, which means there is plenty of room to explore what's under the hood.

Instead of just listing the C API call, Windows CE 3.0 provides a snippet of code that shows precisely how to use each function. Network programming using HTTP and sockets, as well as serial communications and GPS device data (which is delivered through the serial port), are covered. You'll also want to read the chapter on Windows CE memory management—a crucial topic. Besides C, you also learn how to use MFC and C++ for certain functions—like database programming, threading, and OLE automation—which can simplify your programming chores.

Filled with advice on how to use the core functionality of Windows CE, plus plenty of time-saving code snippets of these APIs in action, Windows CE 3.0 Application Programming will be a valuable source of information on the latest version of Windows for mobile devices. —Richard Dragan

Topics covered:Introduction to the Windows CE 3.0 platformThe Pocket PC, Handheld PC, and Palm Size PC standardseMbedded Visual C++ 3.0Working with Unicode stringsWindows CE 3.0 C API tutorialFile I/O functions, APIs for the object store, directory, and networkWindows CE property databases (including basic database operations and the MFC database classes for Window CE)Processes and threadsThread priorities and statesSynchronization objects (including critical sections, mutexes, and semaphores)Windows CE notificationsUsing the LED, HTTP, and Web clientsTCP/IP and socket programmingWorking with the infrared (IrDA) portSerial communications and GPS devicesThe Remote API (RAPI)The Telephone API (TAPI)Remote Access Services (RAS)Memory management techniques and tips for Windows CESystem information and power management APIsCOM and ActiveX on Windows CE (including using MFC for automation)The Pocket Office Object Model (POOM)Microsoft Message Queue (MSQ) and queuingADOCE and SQL Server for Windows CEActiveSync for installation and synchronization for Windows CE devices