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The massive success of apps like Instagram, iMovie, and Vine proves that users want tools to help them capture, edit, and share their lives. If you want to build those apps for iOS or OS X, you need to understand Apple's most powerful media framework: AV Foundation. Until now, however, this meant wrestling with Apple's massive, out-of-date API documentation. Now, there's a more productive and efficient alternative. Learning AV Foundation helps you gain real-world mastery by teaching each aspect of the framework in the context of building real world applications. By the time you finish, you'll have built a voice memo app, custom video player, video editor, and an image and video camera app -- and you'll have mastered all the techniques you need to write your own advanced media apps with AV Foundation. Most chapters contain additional optional exercises, to help you further deepen your understanding. Learning AV Foundation comes with a complete collection of starter apps that abstract away visual aspects, so you can focus solely on AV Foundation without getting bogged down in supporting infrastructure. Coverage includes: Understanding the AV Foundation media environment ; Basic techniques for working with media: playback, recording, and more ; Basic and advanced media capture ; Media creation and editing: composing media, mixing audio, creating video transitions, and layering animated content ; Advanced topics, including real-time audio and video effects ; Integrating AV Foundation with Core Audio.
AV Foundation for iOS and OS X® Programming—Get Started Fast! If you develop media-rich iOS or OS X apps, you can do amazing things with Apple’s AV Foundation. However, the framework is extremely large, reliant on cutting-edge language features, and poorly documented. Now, there’s a more productive way to master these immensely powerful technologies: Bob McCune’s Learning AV Foundation. McCune’s live presentations and GitHub projects have already helped thousands of Apple developers get started with AV Foundation. Building on his experience, McCune helps you gain true mastery by creating real-world apps, hands-on. You’ll build a voice memo app, custom video player, video editor, and an image/video camera app. As you proceed, you’ll master all the techniques you need to write your own advanced media apps from scratch. Throughout, McCune provides carefully crafted challenges and complete starter apps—all designed to help you deepen your understanding and make the most of Apple’s breakthrough media framework. COVERAGE INCLUDES Understanding how AV Foundation fits in Apple’s media environment and each of its key areas of functionality Enabling your apps with audio playback and recording features Enhancing video playback to deliver a richer, more dynamic experience Using AV Kit to match your user interfaces with iOS Videos or OS X QuickTime Player Developing media capture apps with real-time video processing using OpenGL ES and Core Image Implementing custom video players Integrating advanced capture features such as video zooming, face detection, barcode scanning, and high frame rate capture Mixing multiple audio tracks and automating volume control Building sophisticated non-linear, non-destructive editing apps Adding advanced video editing capabilities, such as video transitions and animation effects
Audio can affect the human brain in the most powerful and profound ways. Using Apple’s Core Audio, you can leverage all that power in your own Mac and iOS software, implementing features ranging from audio capture to real-time effects, MP3 playback to virtual instruments, web radio to VoIP support. The most sophisticated audio programming system ever created, Core Audio is not simple. In Learning Core Audio, top Mac programming author Chris Adamson and legendary Core Audio expert Kevin Avila fully explain this challenging framework, enabling experienced Mac or iOS programmers to make the most of it. In plain language, Adamson and Avila explain what Core Audio can do, how it works, and how it builds on the natural phenomena of sound and the human language of audio. Next, using crystal-clear code examples, they guide you through recording, playback, format conversion, Audio Units, 3D audio MIDI connectivity, and overcoming unique challenges of Core Audio programming for iOS. Coverage includes: mastering Core Audio’s surprising style and conventions; recording and playback with Audio Queue; synthesizing audio; perform effects on audio streams; capturing from the mic; mixing multiple streams; managing file streams; converting formats; creating 3D positional audio; using Core MIDI on the Mac; leveraging your Cocoa and Objective-C expertise in Core Audio’s C-based environment, and much more. When you’ve mastered the “black arts” of Core Audio, you can do some serious magic. This book will transform you from an acolyte into a true Core Audio wizard.
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Summary Barcodes with iOS is the first and only book that comprehensively addresses barcode technology for the iOS developer. It offers an introduction to commonly used formats, such as ISBN and UPC codes, and provides real-world examples that teach you how to integrate code scanning and generation into your apps. This book consolidates information about applicable Apple frameworks in one place so you can quickly add native barcode support to your existing enterprise apps or start building new apps that help bring together the physical and digital worlds. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Barcodes are a universal way to track and share information, appearing on everything from cereal boxes to shop windows. Starting with iOS 7, Apple has added native features for building apps that scan, display, and print barcodes, eliminating the need for third-party libraries. About the Book Barcodes with iOS teaches you how to effectively use barcodes in your iOS apps. You'll master Apple's new barcode frameworks while you explore real-world examples that integrate code scanning and generation and metadata retrieval into your apps. Along the way, you'll pick up numerous best practices for bringing together the physical and digital worlds. This book is written for readers with a working knowledge of Objective-C and iOS app development. What's Inside Learn about all barcode formats supported by iOS Native barcode scanning with AV Foundation Using Core Image and BarCodeKit to produce a wide range of barcodes Printing to sheets and labels with AirPrint Retrieving metadata for products with NSURLSession and NSURLProtocol Harnessing context information from Core Location and iBeacons About the Author Oliver Drobnik is an independent consultant specializing in custom iOS and Mac development. Table of Contents Barcodes, iOS, and you 1 Media capture with AV Foundation 18 Scanning barcodes 48 Passbook, Apple's digital wallet 70 Generating barcodes 97 Getting metadata for barcodes 133 Putting barcodes in context 172 Appendices History of the UPC 205 GTIN prefix ranges 212 GS1-128 application identifiers 217
#1 New York Times Bestseller Legendary venture capitalist John Doerr reveals how the goal-setting system of Objectives and Key Results (OKRs) has helped tech giants from Intel to Google achieve explosive growth—and how it can help any organization thrive. In the fall of 1999, John Doerr met with the founders of a start-up whom he'd just given $12.5 million, the biggest investment of his career. Larry Page and Sergey Brin had amazing technology, entrepreneurial energy, and sky-high ambitions, but no real business plan. For Google to change the world (or even to survive), Page and Brin had to learn how to make tough choices on priorities while keeping their team on track. They'd have to know when to pull the plug on losing propositions, to fail fast. And they needed timely, relevant data to track their progress—to measure what mattered. Doerr taught them about a proven approach to operating excellence: Objectives and Key Results. He had first discovered OKRs in the 1970s as an engineer at Intel, where the legendary Andy Grove ("the greatest manager of his or any era") drove the best-run company Doerr had ever seen. Later, as a venture capitalist, Doerr shared Grove's brainchild with more than fifty companies. Wherever the process was faithfully practiced, it worked. In this goal-setting system, objectives define what we seek to achieve; key results are how those top-priority goals will be attained with specific, measurable actions within a set time frame. Everyone's goals, from entry level to CEO, are transparent to the entire organization. The benefits are profound. OKRs surface an organization's most important work. They focus effort and foster coordination. They keep employees on track. They link objectives across silos to unify and strengthen the entire company. Along the way, OKRs enhance workplace satisfaction and boost retention. In Measure What Matters, Doerr shares a broad range of first-person, behind-the-scenes case studies, with narrators including Bono and Bill Gates, to demonstrate the focus, agility, and explosive growth that OKRs have spurred at so many great organizations. This book will help a new generation of leaders capture the same magic.
Get up to speed on Cocoa and Objective-C, and start developing applications on the iOS and OS X platforms. If you don’t have experience with Apple’s developer tools, no problem! From object-oriented programming to storing app data in iCloud, the fourth edition of this book covers everything you need to build apps for the iPhone, iPad, and Mac. You’ll learn how to work with the Xcode IDE, Objective-C’s Foundation library, and other developer tools such as Event Kit framework and Core Animation. Along the way, you’ll build example projects, including a simple Objective-C application, a custom view, a simple video player application, and an app that displays calendar events for the user. Learn the application lifecycle on OS X and iOS Work with the user-interface system in Cocoa and Cocoa Touch Use AV Foundation to display video and audio Build apps that let users create, edit, and work with documents Store data locally with the file system, or on the network with iCloud Display lists or collections of data with table views and collection views Interact with the outside world with Core Location and Core Motion Use blocks and operation queues for multiprocessing
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
This updated book covers everything readers need to get started for developing Apple applications--from object-oriented programming to working with iCloud and Xcode Integrated Development.
The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.