Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they’re easier to test and debug.

    Witty and accessible, Paul Lockhart’s controversial approach will provoke spirited debate among educators and parents alike and it will alter the way we think about math forever.Paul Lockhart, has taught mathematics at Brown University and UC Santa Cruz. Since 2000, he has dedicated himself to K-12 level students at St. Ann’s School in Brooklyn, New York.

    Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory, computability and complexity theory, quantum computing, cryptography, the information content of quantum states and the interpretation of quantum mechanics. There are also extended discussions about time travel, Newcomb's Paradox, the anthropic principle and the views of Roger Penrose. Aaronson's informal style makes this fascinating book accessible to readers with scientific backgrounds, as well as students and researchers working in physics, computer science, mathematics and philosophy.

    However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

    Holland dramatically shows us that the “emergence” of order from disorder has much to teach us about life, mind and organizations. Creative activities in both the arts and the sciences depend upon an ability to model the world. The most creative of those models exhibits emergent properties, so that “what comes out is more than what goes in.” From the ingenious checkers-playing computer that started beating its creator in game after game, to the emotive creations of the poet, Emergence shows that Holland’s theory successfully predicts many complex behaviors in art and science.

    Who are these people, what motivates them, and why should you care?Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. Letters, encyclopedias, newspapers, and even your local store are being replaced by the Internet.Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham, explains this world and the motivations of the people who occupy it. In clear, thoughtful prose that draws on illuminating historical examples, Graham takes readers on an unflinching exploration into what he calls “an intellectual Wild West.”The ideas discussed in this book will have a powerful and lasting impact on how we think, how we work, how we develop technology, and how we live. Topics include the importance of beauty in software design, how to make wealth, heresy and free speech, the programming language renaissance, the open-source movement, digital design, internet startups, and more.

    This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language. Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure. Learn about the most useful components of an R package, including vignettes and unit tests Automate anything you can, taking advantage of the years of development experience embodied in devtools Get tips on good style, such as organizing functions into files Streamline your development process with devtools Learn the best way to submit your package to the Comprehensive R Archive Network (CRAN) Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr

    Haskell emerged in the last decade as a standard for lazy functional programming, a programming style where arguments are evaluated only when the value is actually needed. Haskell is a marvellous demonstration tool for logic and maths because its functional character allows implementations to remain very close to the concepts that get implemented, while the laziness permits smooth handling of infinite data structures.This book does not assume the reader to have previous experience with either programming or construction of formal proofs, but acquaintance with mathematical notation, at the level of secondary school mathematics is presumed. Everything one needs to know about mathematical reasoning or programming is explained as we go along. After proper digestion of the material in this book the reader will be able to write interesting programs, reason about their correctness, and document them in a clear fashion. The reader will also have learned how to set up mathematical proofs in a structured way, and how to read and digest mathematical proofs written by others.

    Learn critical lessons from a person who helped design and build one of the largest high-performance .NET systems in the world.This book does not just teach you how the CLR works—it teaches you exactly what you need to do now to obtain the best performance today. It will expertly guide you through the nuts and bolts of extreme performance optimization in .NET, complete with in-depth examinations of CLR functionality, free tool recommendations and tutorials, useful anecdotes, and step-by-step guides to measure and improve performance.Among the topics you will learn are how to:-Choose what to measure and why-Use many amazing tools, freely available, to solve problems quickly-Understand the .NET garbage collector and its effect on your application-Use effective coding patterns that lead to optimal garbage collection performance-Diagnose common GC-related issues-Reduce costs of JITting-Use multiple threads sanely and effectively, avoiding synchronization problems-Know which .NET features and APIs to use and which to avoid-Use code generation to avoid performance problems-Measure everything and expose hidden performance issues-Instrument your program with performance counters and ETW events-Use the latest and greatest .NET features-Ensure your code can run on mobile devices without problems-Build a performance-minded team…and much more.

    This one is huge! Over 160 pages of easy to read, easy to understand, and easy to DO tips that will make you a better photographer!If you are tired of being the runner-up in all the local photography contests and want to start hearing "Ooohs" and "Aaahs" when people look at your photos, this one is for YOU!To give you an idea of what is included, here is the table of contents...Introduction:The Basics Of Photography:Key 1: Photography SimplifiedKey 2: Aperture And Shutter SpeedKey 3: Master Your Camera - Fast!Key 4: The Photographer's Secret WeaponKey 5: Creativity Can Be LearnedKey 6: A New Vantage PointKey 7: Put the "Wow" Factor In Your Photos!Key 8: Tell A StoryKey 9: Exposure - How Your Meter Works!Key 10: How To Shoot In Black And White Eliminate Camera Shake:Key 11: Your Shooting StanceKey 12: Tripod TipsKey 13: Use A Tripod Like A MonopodKey 14: How To Use A MonopodKey 15: Hands Off The Button!Key 16: Mirror, Mirror…Using On Camera FlashKey 17: The Ten Foot RuleKey 18: Intensify The Colors In Your PhotosKey 19: Eliminate "Red Eye!"Outdoors/Landscape PhotographyKey 20: Create Better Landscape PhotosKey 21: Shooting In Bad WeatherKey 22: Two Horizon Photo TipsKey 23: More On Level HorizonsKey 24: Stunning City Skyline PhotographyKey 25: Shoot Better sunset PhotosKey 26: How To Get Intense Sunset Photo ColorsKey 27: Filters To The RescueKey 28: The Indispensable Rubber BandKey 29: Recovering The GroundKey 30: Amazing WaterfallsKey 31: Making Clouds "POP!"Key 32: To Buy Or Not To Buy Colored FiltersKey 33: Storing Your FiltersKey 34: Using Kodak Yellow!Key 35: Fireworks And Lightning - Part 1Key 36: Fireworks And Lightning - Part 2Key 37: Flowers And Spider Webs - Part 1Key 38: Flowers And Spider Webs - Part 2Key 39: Turn AroundPet PortraitsKey 40: Pet Portraits - Great For Camera MasteryKey 41: Better Pet Portraits In 3 Easy StepsKey 42: In Pet Portraits The Ears Matter!Key 43: Problem AnimalsPortrait PhotographyKey 44: Tips For Improving Your PortraitsKey 45: 2 Easy Portrait Photography TipsKey 46: The "Photographic Ground Modification System!"Key 47: Visually Lose Weight!Key 48: The Ultimate Portrait Photography Tip!Key 49: Size MattersKey 50: Basics Of Lighting Portrait PhotographyAdditional Training:

    This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models—from data collection and analysis to the insights and leadership that drive concrete actions. You’ll learn what works and what doesn’t, and why creating a data-driven culture throughout your organization is essential. Start from the bottom up: learn how to collect the right data the right way Hire analysts with the right skills, and organize them into teams Examine statistical and visualization tools, and fact-based story-telling methods Collect and analyze data while respecting privacy and ethics Understand how analysts and their managers can help spur a data-driven culture Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer

    They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work―and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities.While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human―and to crack the creativity code.

    This well-respected text offers an accessible introduction to functional programming concepts and techniques for students of mathematics and computer science. The treatment is as nontechnical as possible, and it assumes no prior knowledge of mathematics or functional programming. Cogent examples illuminate the central ideas, and numerous exercises appear throughout the text, offering reinforcement of key concepts. All problems feature complete solutions.

    You can use it to write traditional, imperative, object-oriented code. But you can also leverage its higher level of abstraction to take full advantage of modern, multicore systems. Programming Scala will show you how to use this powerful functional programming language to create highly scalable, highly concurrent applications on the Java Platform. The increasing popularity and availability of multicore processors is creating a whole new set of challenges--although you can enjoy true concurrency, you're now faced with higher contention and synchronization issues. Deploying an existing application on a multicore processor may bring out previously hidden concurrency issues. Java's multi-threading facility by itself isn't enough---it's a very low level abstraction. Instead, you need a paradigm that provides a higher level of abstraction to deal with concurrency. It's time to embrace Functional Programming. Scala is a hybrid Object-Oriented/Functional Programming language on the JVM. Using Scala, you can create traditional imperative programs, intermix them with Java code, and at the same time take advantage of higher levels of abstraction. You can use features that lead to concise, highly expressive code that remove the pain of dealing with concurrency.Programming Scala will show you the fundamentals of functional programming using Scala. Very quickly, you'll learn how this statically typed language can give you dynamic capabilities to create concise, scalable, highly capable concurrent code. Pragmatic programmers always use the right tool for the job. For concurrent programming on the Java VM, Scala is the tool, and Programming Scala by award-winning author Venkat Subramaniam is your guide.

    Its humorous title begins with the punch line of a classic joke about someone who is baffled by technology. It was written by a 40-year computer veteran who wants to take the mystery out of computers and allow everyone to gain a true understanding of exactly what computers are, and also what they are not. Years of writing, diagramming, piloting and editing have culminated in one easy to read volume that contains all of the basic principles of computers written so that everyone can understand them. There used to be only two types of book that delved into the insides of computers. The simple ones point out the major parts and describe their functions in broad general terms. Computer Science textbooks eventually tell the whole story, but along the way, they include every detail that an engineer could conceivably ever need to know. Like Momma Bear's porridge, But How Do It Know? is just right, but it is much more than just a happy medium. For the first time, this book thoroughly demonstrates each of the basic principles that have been used in every computer ever built, while at the same time showing the integral role that codes play in everything that computers are able to do. It cuts through all of the electronics and mathematics, and gets right to practical matters. Here is a simple part, see what it does. Connect a few of these together and you get a new part that does another simple thing. After just a few iterations of connecting up simple parts - voilà! - it's a computer. And it is much simpler than anyone ever imagined. But How Do It Know? really explains how computers work. They are far simpler than anyone has ever permitted you to believe. It contains everything you need to know, and nothing you don't need to know. No technical background of any kind is required. The basic principles of computers have not changed one iota since they were invented in the mid 20th century. "Since the day I learned how computers work, it always felt like I knew a giant secret, but couldn't tell anyone," says the author. Now he's taken the time to explain it in such a manner that anyone can have that same moment of enlightenment and thereafter see computers in an entirely new light.