With this 204-page book, you can:
Save money: Extend your Mac's useful life and postpone buying an expensive new computer.
Save time: Work more efficiently rather than constantly waiting for your Mac to catch up with you.
Eliminate irritations: Banish the spinning pizza of death. Reduce startup and application launch times.
Work smarter: Learn power user tricks for getting more done with less effort.

You'll learn answers to questions like:
What are the eight quickest fixes for Mac performance problems?
Which common claims about Mac performance are myths?
How can I objectively measure my Mac's performance?
Which popular Mac OS X features have hidden (and severe) speed penalties?
What are the best ways to find and eliminate CPU and RAM hogs?
Can I make my Mac faster by freeing up disk space?
Will defragmenting my disk, repairing permissions, or clearing caches speed up my Mac?
When is an SSD (solid-state drive) a smart upgrade choice?
Which hardware upgrades are worth the money, and which should I avoid?
If Web browsing is slow, how can I tell where the bottleneck is?
How can I make my Mac start up, go to sleep, or wake up faster?
How can I type faster?
How can I make my mouse pointer move faster or more fluidly?

If you've ever thought you should learn how to use the Unix command line that underlies Mac OS X, or felt at sea when typing commands into Terminal, Joe Kissell is here to help! This ebook will help you become comfortable working on the Mac's command line, starting with the fundamentals and walking you through more advanced topics as your knowledge increases. And if you're uncertain how to put your new-found skills to use, Joe includes numerous real-life "recipes" for tasks that are best done from the command line.

The book begins by teaching you these core concepts:
The differences between Unix, a command line, a shell, and Terminal
Exactly how commands, arguments, and flags work
The basics of Terminal's interface and how to customize it

Next, it's on to the command line, where you'll learn:
How to navigate your Mac's file system
Basic file management: creating, copying, moving, renaming, opening, viewing, and deleting files
The types of command-line programs
How to edit a text file in nano (even if you are not named Mork)
What a profile is, why it's cool, and how to customize yours
The importance of your PATH and how to change it, if you need to
How to get help (Joe goes way beyond telling you to consult the man pages)

You'll extend your skills as you discover how to:
Create and run scripts to automate repetitive tasks.
See which programs are running and what system resources they're consuming.
Quit programs that refuse to quit normally.
Enable the command line to interact with the Finder.
Control another Mac via its command line using ssh.
Understand and change an item's permissions, owner, and group.
Run commands as the root user using sudo.

Questions answered include:
Which shell am I using, and how can I change my default shell?
How do I quickly figure out the path to an item on my Mac?
How can I customize my Terminal window so I can see man pages behind it?
How can I make a shortcut to avoid retyping the same long command?
Is there a trick for entering a long path quickly?
What should I say when someone asks if I know how to use vi?
How do I change my prompt to suit my mood or needs?

Finally, to help you put it all together, the book showcases 40 real-world "recipes" that combine commands you've learned to perform useful tasks, such as listing users who've logged in recently, figuring out why a disk won't eject, changing filename extensions, copying the source code of a Web page, downloading a file via FTP, determing which programs have open connections to the Internet, learning details about a domain name, and deleting stubborn items from the Trash.

The 17 basic troubleshooting procedures (along with the reasons why they can help) you'll learn are:
Restart your Mac
Force-quit an application
Start up from another volume
Run disk-repair utilities
Erase and restore from backup
Repair permissions
Start up in safe mode
Turn off login items
Check preference files
Reset PMU, SMU, SMC, NVRAM, or PRAM
Use Activity Monitor
Check free disk space
Check log files
Clear caches
Check your RAM
Test for reproducibility
Get system information

Joe also explains how to solve 15 common problems, including:
Your computer won't turn on
Your computer keeps turning itself off
You experience repeated kernel panics
Your Mac is abnormally slow
You can't empty the Trash
An application grinds to a halt
An application crashes
The keyboard or mouse doesn't work
You lose your Internet connection
Printing doesn't work
Spotlight searches fail
Keychain (seemingly) forgets passwords
Apple Mail fails to connect
Time Machine misbehaves
A volume won't unmount

Beginning Xcode, Swift Edition will not only get you up and running with Apple's latest version of Xcode, but it also shows you how to use Swift in Xcode and includes a variety of projects to build.

If you already have some programming experience with iOS SDK and Objective-C, but want a more in-depth tutorial on Xcode, especially Xcode with Apple’s new programming language, Swift, then Beginning Xcode, Swift Edition is for you. The book focuses on the new technologies, tools and features that Apple has bundled into the new Xcode 6, to complement the latest iOS 8 SDK.

By the end of this book, you'll have all of the skills and a variety of examples to draft from to get your Swift app from idea to App Store with all the power of Xcode.

What you’ll learn How to use Swift and new Swift-related features in XcodeHow to get started with Xcode, using Workspaces, Interface Builder, storyboarding, tables/collection views and moreHow to dive deeper into Xcode using advanced searches, filtering, advanced editing, debugging, and source controlHow to take advantage of Xcode's vast libraries, frameworks and bundlesHow to create exciting interactive apps for iPhone or iPad using Sprite Kit, Map Kit, and other Apple technologiesHow to share your app using organizer, localization, auto layout, and moreWho this book is for

This book is for those with some Objective-C/Cocoa and/or iOS SDK app development experience, but want to be more efficient in writing and testing their code, and people who want to know in-depth examples of Swift in Xcode.

Learn C programming from one of the best. Stephen Kochan’s Programming in C is thorough with easy-to-follow instructions that are sure to benefit beginning programmers. In its third edition, the style in this book remains true to the simple, instructional style of previous editions. It provides you with updated and relevant examples of how C programming can be used with small, fast programs, similar to the programming used by large game developers such as Nintendo. If you want a one-stop-source for C programming, this book is it!

Programming in C, Third Edition is a revised edition of a classic programming title. Author Stephen Kochan's style and thorough explanations have earned him a place among the most respected of computer book authors. Although the C programming language hasn't undergone any major changes, it's enjoying new life among game programmers and small device programmers, where its simple elegance makes it the ideal choice for small fast programs. Large game developers, such as Nintendo, use C almost exclusively. This edition combines the time-tested instructional style of Stephen Kochan with updated and relevant examples.

Programming in Objective-C is a concise, carefully written tutorial on the basics of Objective-C and object-oriented programming. The book makes no assumption about prior experience with object-oriented programming languages or with the C language (upon which Objective-C is based). And because of this, both novice and experienced programmers alike can use this book to quickly and effectively learn the fundamentals of Objective-C. Readers can also learn the concepts of object-oriented programming without having to first learn all of the intricacies of the underlying procedural language (C). This approach, combined with many small program examples and exercises at the end of each chapter, makes it ideally suited for either classroom use or self-study. Growth is expected in this language. At the January 2003 MacWorld, it was announced that there are 5 million Mac OS X users and each of their boxes ships with Objective-C built in.

A complete introduction to the Objective-C language for Mac OS X and iPhone development

Objective-C has become the standard programming language for application development on the Mac OS X and iPhone platforms. A powerful yet simple object-oriented programming language that’s based on the C programming language, Objective-C is widely available not only on OS X but across many operating systems that support the gcc compiler, including Linux, Unix, and Windows systems.

Programming in Objective-C 2.0 provides the new programmer a complete, step-by-step introduction to the Objective-C language. The book does not assume previous experience with either C or object-oriented programming languages, and it includes many detailed, practical examples of how to put Objective-C to use in your everyday programming needs.

The second edition of this book has been updated and expanded to cover Objective-C 2.0. It shows not only how to take advantage of the Foundation framework’s rich built-in library of classes but also how to use the iPhone SDK to develop programs designed specifically for the iPhone and iPod Touch.

“The best book on any programming language that I’ve ever read. If you want to learn Objective-C, buy it.”

–Calvin Wolcott

“An excellent resource for a new programmer who wants to learn Objective-C as their first programming language–a woefully underserved market.” –Pat Hughes

Stephen G. Kochan is author or coauthor of several bestselling books on the C language, including Programming in C, Programming in ANSI C, and Topics in C Programming. He has written extensively on Unix and is author of Exploring the Unix System and Unix Shell Programming. Kochan has been programming Macintosh computers since the introduction of the first Mac in 1984 and wrote Programming C for the Mac for the Apple Press Library as well as Beginning AppleScript (Wrox).

Programming Languages / Objective-C 2.0

$44.99 US / $48.99 CANADA / £28.99 Net UK

The best single-source guide available for detailed treatment of advanced C programming for the UNIX environment. No other book addresses, in comparable depth, the topics explored here by authors Kochan and Wood—topics like X-Windows, pointers and structures, generating programs with "make," and debugging C programs.

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problemsAbout This Book Understand the principles of Bayesian Inference with less mathematical equationsLearn state-of-the art Machine Learning methodsFamiliarize yourself with the recent advances in Deep Learning and Big Data frameworks with this step-by-step guideWho This Book Is For

This book is for statisticians, analysts, and data scientists who want to build a Bayes-based system with R and implement it in their day-to-day models and projects. It is mainly intended for Data Scientists and Software Engineers who are involved in the development of Advanced Analytics applications. To understand this book, it would be useful if you have basic knowledge of probability theory and analytics and some familiarity with the programming language R. What You Will Learn Set up the R environmentCreate a classification model to predict and explore discrete variablesGet acquainted with Probability Theory to analyze random eventsBuild Linear Regression modelsUse Bayesian networks to infer the probability distribution of decision variables in a problemModel a problem using Bayesian Linear Regression approach with the R package BLRUse Bayesian Logistic Regression model to classify numerical dataPerform Bayesian Inference on massively large data sets using the MapReduce programs in R and Cloud computingIn Detail

Bayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian methods to real-world problems requires high computational resources. With the recent advances in computation and several open sources packages available in R, Bayesian modeling has become more feasible to use for practical applications today. Therefore, it would be advantageous for all data scientists and engineers to understand Bayesian methods and apply them in their projects to achieve better results.

Learning Bayesian Models with R starts by giving you a comprehensive coverage of the Bayesian Machine Learning models and the R packages that implement them. It begins with an introduction to the fundamentals of probability theory and R programming for those who are new to the subject. Then the book covers some of the important machine learning methods, both supervised and unsupervised learning, implemented using Bayesian Inference and R.

Every chapter begins with a theoretical description of the method explained in a very simple manner. Then, relevant R packages are discussed and some illustrations using data sets from the UCI Machine Learning repository are given. Each chapter ends with some simple exercises for you to get hands-on experience of the concepts and R packages discussed in the chapter.

The last chapters are devoted to the latest development in the field, specifically Deep Learning, which uses a class of Neural Network models that are currently at the frontier of Artificial Intelligence. The book concludes with the application of Bayesian methods on Big Data using the Hadoop and Spark frameworks. Style and approach

The book first gives you a theoretical description of the Bayesian models in simple language, followed by details of its implementation in the R package. Each chapter has illustrations for the use of Bayesian model and the corresponding R package, using data sets from the UCI Machine Learning repository. Each chapter also contains sufficient exercises for you to get more hands-on practice.

Leverage Swift and enhance your code to take your applications to the next levelAbout This Book Build solid, high performance applications in SwiftIncrease your efficiency by getting to grips with concurrency and parallel programmingUse Swift to design performance-oriented solutionsWho This Book Is For

This book is aimed at experienced Swift developers wanting to optimize their programs on Apple platforms to optimize application performance. What You Will Learn Build solid, stable, and reliable applications using SwiftUse REPL and Pl to manage and configure relational databasesExplore Swift's features including its static type system, value objects, and functional programming Design reusable code for high performance in SwiftUse to Xcode LLBD and REPL to debug commandsAvoid sharing resources by using concurrency and parallel programmingUnderstand the lazy loading pattern, lazy sequences, and lazy evolution.In Detail

Swift is one of the most popular and powerful programming languages for building iOS and Mac OS applications, and continues to evolve with new features and capabilities. Swift is considered a replacement to Objective-C and has performance advantages over Objective-C and Python. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun.

Develop Swift and discover best practices that allow you to build solid applications and optimize their performance.

First, a few of performance characteristics of Swift will be explained. You will implement new tools available in Swift, including Playgrounds and REPL. These will improve your code efficiency, enable you to analyse Swift code, and enhance performance. Next, the importance of building solid applications using multithreading concurrency and multi-core device architecture is covered, before moving on to best practices and techniques that you should utilize when building high performance applications, such as concurrency and lazy-loading. Finally, you will explore the underlying structure of Swift further, and learn how to disassemble and compile Swift code. Style and approach

This is a comprehensive guide to enhancing Swift programming techniques and methodology to enable faster application development.

Computer Vision Metrics: Survey, Taxonomy, and Analysis provides a technical tour through computer vision, with a survey of nearly 100 types of local, regional, and global feature descriptors, blending history of the field with state-of-the-art analysis of contemporary methods, rather than just another how-to book with source code shortcuts and performance analysis. Observations are provided to develop intuition behind the methods and mathematics, interesting questions are raised for future research rather than providing all the answers, and a Vision Taxonomy is suggested to draw a conceptual map of the field. Extensive illustrations are included, with over 540 references to the literature in the comprehensive bibliography to dig deeper.

Computer Vision Metrics explores the key questions behind the design and mathematics of computer vision metrics and feature descriptors, providing a comprehensive survey and taxonomy of what methods are used, with analysis and observations about why the methods work. Several 3D depth sensing methods are surveyed including MVS, stereo, and structured light.

This work focuses on a slice through the field from the view of feature description metrics, or how to describe, compute, and design the macro-features and micro-features
that make up larger objects in images. The focus is on the pixel-side of the vision pipeline, with a light introduction to the back-end training, classification, machine learning, and matching stages. Computer Vision Metrics is written for engineers, scientists, and academic researchers in areas including video analytics, scene understanding, machine vision, face recognition, gesture recognition, pattern recognition, general object analysis, media processing, and computational photography.

What you’ll learn Current status, brief history, and future directions for computer vision metricsTaxonomy of local binary, gradient & other spectra, shape features,
and basis spacesOverview of 2D image sensing, 3D depth sensing, and image preprocessingVision pipeline optimization methods for computer vision applicationsCharacterization of ten OpenCV detectors using synthetic feature alphabets
Who this book is for

Engineers, scientists, and academic researchers in areas including media processing, computational photography, video analytics, scene understanding, machine vision, face recognition, gesture recognition, pattern recognition and general object analysis.
Table of Contents

Chapter 1. Image Capture and Representation

Chapter 2. Image Pre-Processing

Chapter 3. Global and Regional Features

Chapter 4. Local Feature Design Concepts, Classification, and Learning

Chapter 5. Taxonomy Of Feature Description Attributes

Chapter 6. Interest Point Detector and Feature Descriptor Survey

Chapter 7. Ground Truth Data, Data, Metrics, and Analysis

Chapter 8. Vision Pipelines and Optimizations

Appendix A. Synthetic Feature Analysis

Appendix B. Survey of Ground Truth Datasets

Appendix C. Imaging and Computer Vision Resources

Appendix D. Extended SDM Metrics