Design and troubleshooting examples and exercises show students the important and practical applications of circuit analysis. At least one odd- and one even-numbered exercise for each important topic or concept is included at the end of each chapter. SPICE(Simulation Program with Integrated Cicuit Emphasis), a powerful simulation program designed to simplify computer-aided circuit analysis, is introduced in a special appendix which provides an in-depth description of how to use it.

    The text offers a flexible organization, enabling instructors to adapt the book to their particular courses. The book is both complete and careful, and it continues to maintain its emphasis on algorithms and applications. Excellent exercise sets allow students to perfect skills as they practice. This new edition continues to feature numerous computer science applications-making this the ideal text for preparing students for advanced study.

    

    Since the publication of the First Edition over thirty years ago, Div, Grad, Curl, and All That has been widely renowned for its clear and concise coverage of vector calculus, helping science and engineering students gain a thorough understanding of gradient, curl, and Laplacian operators without required knowledge of advanced mathematics.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

    Hypnotists of all levels of experience will be able to expand their skills to new heights to create the most effective sessions and the most profitable practices. “Magic Words teaches you how to work without scripts, spontaneously and effortlessly in hypnosis and in your life.” ~Michael Watson, International Hypnosis and NLP Trainer and Past President Hypnosis Education Association “Any serious hypnotist or therapist MUST read this book if they want to increase their influence and help more people.” ~Dr. William Horton, author of The Secret Psychology of Persuasion “Magic Words is a must read for anyone who wants to really motivate themselves or others.” ~Shelley Stockwell-Nicholas, PhD President- International Hypnosis Federation “This is a wonderful handbook for all Certified Instructors to offer their hypnosis students. Karen expertly anchors skills as she teaches the concepts.” ~Larry Garrett BCH, OB Owner Garrett Hypnosis and Wellness Center “This book is captivating! ~Erika Flint, CEO Cascade Hypnosis Center Karen Hand, an award-winning Board Certified Hypnotist, Educator and World-Class Communicator, has helped thousands of people take control of their lives and trained countless hypnotists to help others make a change for good. Visit www.karenhand.com

     This book is a supplement to What If? and intended to enhance the experience of reading the original book. We recommend purchasing the full version of What If? on Amazon in addition to this book. Introduction What If? Serious Scientific Answers to Absurd Hypothetical Questions presents a wide variety of questions covering a range of dubious potentialities and the results which would ensue should they become reality. The questions are collected from author Randall Munroe’s website, where they are sent in by readers of his blog. Some of the questions are conceptual, for example how much force would be required for Yoda to lift an X-fighter, others are in a more serious vein. All of the answers however are based on research and the application of scientific principles by the author, himself trained in physics and a former roboticist for NASA. Benefits Spend less time reading and more time enjoying your favorite books. Discover important details you may have missed the first time. Review key concepts in an easy-to-understand and efficient manner. Use as a reference or "cheat sheet" to quickly access important information. Pick up where you left off with the original book. Focus only on critical information and eliminate unnecessary details. Buy Now Buy Now: Only $2.99 (Save $3.00 or 50%, Regular Price: $5.99) Money Back Guarantee: If you are not 100% satisfied with your purchase, simply return it to Amazon within 7 days of purchase for a full refund. Go to Your Account -> Manage Your Content and Devices -> Find the Book -> Return for Full Refund. Read Now: Your book will be delivered to your Kindle device or free Kindle software automatically.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    You'll learn how to use Haskell in a variety of practical ways, from short scripts to large and demanding applications. Real World Haskell takes you through the basics of functional programming at a brisk pace, and then helps you increase your understanding of Haskell in real-world issues like I/O, performance, dealing with data, concurrency, and more as you move through each chapter. With this book, you will:Understand the differences between procedural and functional programming Learn the features of Haskell, and how to use it to develop useful programs Interact with filesystems, databases, and network services Write solid code with automated tests, code coverage, and error handling Harness the power of multicore systems via concurrent and parallel programming You'll find plenty of hands-on exercises, along with examples of real Haskell programs that you can modify, compile, and run. Whether or not you've used a functional language before, if you want to understand why Haskell is coming into its own as a practical language in so many major organizations, Real World Haskell is the best place to start.

    Sure, they play in huge games where tens of thousands of dollars can move in the blink of an eye. But that's not the only difference. Elite players play and think about the game in a completely different way from everyone else. If you want to raise your game to their level, it's not just a matter of getting a little better at what you already do. The honest truth is that the way 99% of poker players approach the game is fundamentally flawed. You will never be able to crack the top 1% until you know what they know. There's one big secret to the game that nearly every elite player knows, yet almost no one else understands. It's an open secret-no one is hiding it. Elite players talk about it sometimes in videos and articles. Nevertheless, top players have known this secret for years, yet still almost no one else does. Poker's 1% seeks to change that. It bridges that gap between the elite players and everyone else. It promises that as long as you are willing to put in the work, you too have a shot to reach the top. Poker's 1% teaches a way of thinking about how you play, a way to unify every hand you've ever played and ever will play into one single, overarching strategy. The goal is that you will have one big "aha" moment, the moment where you finally "get" this game. After that, it's just fine tuning. The more you fine tune your strategy, the more you win, and the higher you can go. Poker's 1% gives you a unique window into the secrets of the world's best players. It shows you what you've been doing wrong and how to fix it. And, most importantly, it guides you in a straightforward way along the path from average player to elite.

    Topics you can expect to see in this book include: ● What problem does blockchain solve? ● How can technology make our institutions faster and less expensive? ● Could technology replace our institutions (like governments, banks, etc) altogether? ● How does blockchain build trust between strangers? ● How does blockchain increase security for transactions and contracts? ● Can blockchain be used outside of finance? ● What is a block? ● What is the chain and why do we need it? ● What’s a technical explanation of what happens in the blockchain? ● What is mining and why do we need it? ● Are there alternatives to mining to create a blockchain? ● What’s the story of Bitcoin? ● Does Bitcoin have any problems? ● What is Ethereum, and what is a smart contract? ● Are there other blockchain technologies I should know about? ● How are companies adopting blockchain? ● What regulatory hurdles might slow blockchain adoption? Whew, that’s a lot of questions. If you’re ready to tackle them, I’m ready

    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    This book offers a full range of exercises, a precise and conceptual presentation, and a new media package designed specifically to meet the needs of today's readers. The exercises gradually increase in difficulty, helping readers learn to generalize and apply the concepts. The refined table of contents introduces the exponential, logarithmic, and trigonometric functions in Chapter 7 of the text.KEY TOPICS Functions, Limits and Continuity, Differentiation, Applications of Derivatives, Integration, Applications of Definite Integrals, Integrals and Transcendental Functions, Techniques of Integration, Further Applications of Integration, Conic Sections and Polar Coordinates, Infinite Sequences and Series, Vectors and the Geometry of Space, Vector-Valued Functions and Motion in Space, Partial Derivatives, Multiple Integrals, Integration in Vector Fields.MARKET For all readers interested in Calculus.