If an editor or agent (or reader) loses interest after a page or two, you've lost him or her completely, even if the middle of your novel is brilliant and the ending phenomenal. Noah Lukeman, an agent in Manhattan, has taken this advice and created a book that examines just what this means, and I have to tell you, it's one of the best I've read. I've written (and seen published) pretty close to a dozen novels in as many years -- some are still to be published and will be out shortly; others are already out of print after four years. But I wish I had read Lukeman's book, The First Five Pages, when I began writing fiction. I'm glad I did now. It has helped, immediately. I'm already embarrassed about some of the goofs I made in my writing -- and I've been revising recent prose with his advice in mind. First off, Lukeman is a literary agent who once was an editor, and his editorial eye is sharp. If every novelist and short story writer in this country had Lukeman as an editor, we'd have a lot more readable prose out there. He writes: Many writers spend the majority of their time devising their plot. What they don't seem to understand is that if their execution -- if their prose -- isn't up to par, their plot may not even be considered.This bears repeating, because in all the books I've read on writing, this is an element that is most often forgotten in the rush to come up with snappy ideas and sharp plot progressions. You can always send a hero on a journey, after all, but if no reader wants to follow him, you've wasted your time. In a tone that can be a bit professorial at times, Lukeman brings what prose is -- and how it reads to others -- into sharp focus. He deals with dialogue, style, and, most importantly, sound. Sound. How does prose sound? It must have rhythm, its own kind of music, in order to draw the reader into the fictive dream. Lukeman's tips and pointers are genuinely helpful, and even important with regard to the sound of the prose itself. Lukeman also brings in on-target exercises for writers of prose and the wonderful advice for novelists to read poetry -- and often. Those first five pages are crucial, for all concerned. But forget the editor and agent and reader. They are important for you, the writer, because they determine the sharpness of your focus, the completeness of your vision, the confidence you, as a writer, need to plunge into a three- or four- or five-hundred-page story. The First Five Pages should be on every writer's shelf. This is the real thing.P#151;Douglas Clegg Douglas Clegg is the author of numerous novels and stories, including The Halloween Man and the collection The Nightmare Chronicles. In addition, Clegg is the author of the world's first publisher-sponsored Internet email novel, Naomi.

    Ordinary art. Ordinary art means something like: all art not made by Mozart. After all, art is rarely made by Mozart-like people; essentially-statistically speaking-there aren't any people like that. Geniuses get made once-a-century or so, yet good art gets made all the time, so to equate the making of art with the workings of genius removes this intimately human activity to a strangely unreachable and unknowable place. For all practical purposes making art can be examined in great detail without ever getting entangled in the very remote problems of genius."--from the Introduction

    This resource guides readers through conducting a high-tech investigation, from acquiring digital evidence to reporting its findings. Updated coverage includes new software and technologies as well as up-to-date reference sections, and content includes how to set up a forensics lab, how to acquire the proper and necessary tools, and how to conduct the investigation and subsequent digital analysis. It is appropriate for students new to the field, or as a refresher and technology update for professionals in law enforcement, investigations, or computer security. The book features free downloads of the latest forensic software, so readers can become familiar with the tools of the trade.

    This book shows you how and gives you hundreds of lesson-planning ideas and strategies for every grade level and subject. Discover new educational tools that support research-based instruction, and learn ways to use technologies you already know to * Create and use advance organizers and nonlinguistic representations * Help students take notes, summarize content, and make comparisons * Engage students in cooperative learning * Help students generate and test hypotheses * Support students in practicing new skills and doing homework * Reinforce students? efforts through formative assessment and feedback Getting this guide ensures you always know when to use educational technologies, which ones are best for a learning task, and how they help students use new learning strategies.

    Used books may not include companion materials, may have some shelf wear, may contain highlighting/notes, may not include CDs or access codes. 100% money back guarantee.

    This is a deeply technical book and focuses on the software engineering skills to ace your interview. The book is over 500 pages and includes 150 programming interview questions and answers, as well as other advice.The full list of topics are as follows:The Interview ProcessThis section offers an overview on questions are selected and how you will be evaluated. What happens when you get a question wrong? When should you start preparing, and how? What language should you use? All these questions and more are answered.Behind the ScenesLearn what happens behind the scenes during your interview, how decisions really get made, who you interview with, and what they ask you. Companies covered include Google, Amazon, Yahoo, Microsoft, Apple and Facebook.Special SituationsThis section explains the process for experience candidates, Program Managers, Dev Managers, Testers / SDETs, and more. Learn what your interviewers are looking for and how much code you need to know.Before the InterviewIn order to ace the interview, you first need to get an interview. This section describes what a software engineer's resume should look like and what you should be doing well before your interview.Behavioral PreparationAlthough most of a software engineering interview will be technical, behavioral questions matter too. This section covers how to prepare for behavioral questions and how to give strong, structured responses.Technical Questions (+ 5 Algorithm Approaches)This section covers how to prepare for technical questions (without wasting your time) and teaches actionable ways to solve the trickiest algorithm problems. It also teaches you what exactly "good coding" is when it comes to an interview.150 Programming Questions and AnswersThis section forms the bulk of the book. Each section opens with a discussion of the core knowledge and strategies to tackle this type of question, diving into exactly how you break down and solve it. Topics covered include• Arrays and Strings• Linked Lists• Stacks and Queues• Trees and Graphs• Bit Manipulation• Brain Teasers• Mathematics and Probability• Object-Oriented Design• Recursion and Dynamic Programming• Sorting and Searching• Scalability and Memory Limits• Testing• C and C++• Java• Databases• Threads and LocksFor the widest degree of readability, the solutions are almost entirely written with Java (with the exception of C / C++ questions). A link is provided with the book so that you can download, compile, and play with the solutions yourself.Changes from the Fourth Edition: The fifth edition includes over 200 pages of new content, bringing the book from 300 pages to over 500 pages. Major revisions were done to almost every solution, including a number of alternate solutions added. The introductory chapters were massively expanded, as were the opening of each of the chapters under Technical Questions. In addition, 24 new questions were added.Cracking the Coding Interview, Fifth Edition is the most expansive, detailed guide on how to ace your software development / programming interviews.

    An analysis of the medium in terms of aesthetics, science and politics provided him with new ways of understanding both the cultural crises of the past and the new social forms nascent within them. Flusser showed how the transformation of textual into visual culture (from the linearity of history into the two-dimensionality of magic) and of industrial into post-industrial society (from work into leisure) went hand in hand, and how photography allows us to read and interpret these changes with particular clarity.

    A logical, expert, easy-to-use plan for achieving excellence in expression, Style offers neither simplistic rules nor endless lists of dos and don'ts. Rather, Joseph Williams explains how to be concise, how to be focused, how to be organized. Filled with realistic examples of good, bad, and better writing, and step-by-step strategies for crafting a sentence or organizing a paragraph, Style does much more than teach mechanics: it helps anyone who must write clearly and persuasively transform even the roughest of drafts into a polished work of clarity, coherence, impact, and personality."Buy Williams's book. And dig out from storage your dog-eared old copy of The Elements of Style. Set them side by side on your reference shelf."—Barbara Walraff, Atlantic"Let newcoming writers discover this, and let their teachers and readers rejoice. It is a practical, disciplined text that is also a pleasure to read."—Christian Century"An excellent book....It provides a sensible, well-balanced approach, featuring prescriptions that work."—Donald Karzenski, Journal of Business Communication"Intensive fitness training for the expressive mind."—Booklist(The college textbook version, Style: Ten Lessons in Clarity and Grace, 9th edition, is available from Longman. ISBN 9780321479358.)

    The books also provides a companion web site that provides the toold and materials necessary to build the hardware and software.

    You will be able to look over the shoulder of major coding and design experts to see problems through their eyes.This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules. Beautiful Code is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International.

     Today, encyclopedias, jetliners, operating systems, mutual funds, and many other items are being created by teams numbering in the thousands or even millions. While some leaders fear the heaving growth of these massive online communities, Wikinomics proves this fear is folly. Smart firms can harness collective capability and genius to spur innovation, growth, and success. A brilliant guide to one of the most profound changes of our time, Wikinomics challenges our most deeply-rooted assumptions about business and will prove indispensable to anyone who wants to understand competitiveness in the twenty-first century. Based on a $9 million research project led by bestselling author Don Tapscott, Wikinomics shows how masses of people can participate in the economy like never before. They are creating TV news stories, sequencing the human genome, remixing their favorite music, designing software, finding a cure for disease, editing school texts, inventing new cosmetics, or even building motorcycles. You'll read about: • Rob McEwen, the Goldcorp, Inc. CEO who used open source tactics and an online competition to save his company and breathe new life into an old-fashioned industry. • Flickr, Second Life, YouTube, and other thriving online communities that transcend social networking to pioneer a new form of collaborative production. • Mature companies like Procter & Gamble that cultivate nimble, trust-based relationships with external collaborators to form vibrant business ecosystems. An important look into the future, Wikinomics will be your road map for doing business in the twenty-first century.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    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

    In fact, he was a great coach because he was a master teacher. What Wooden has learned from others in the classroom and perfected on the practice court are fundamental principles of effective teaching, which are conveyed in the book. Co-author Swen Nater, one of Wooden's former players at UCLA, provides insightful first-hand accounts on the many life lessons he learned from Wooden that he has applied to his life since becoming a teacher himself. These principles have a timeless and universal quality, applicable to all teaching situations: the classroom, the home, the workplace, and everywhere that a person has the responsibility for helping others learn and excel.

    With this guide, pioneering Go programmer Mark Summerfield shows how to write code that takes full advantage of Go's breakthrough features and idioms. Both a tutorial and a language reference, "Programming in Go" brings together all the knowledge you need to evaluate Go, think in Go, and write high-performance software with Go. Summerfield presents multiple idiom comparisons showing exactly how Go improves upon older languages, calling special attention to Go's key innovations. Along the way, he explains everything from the absolute basics through Go's lock-free channel-based concurrency and its flexible and unusual duck-typing type-safe approach to object-orientation. Throughout, Summerfield's approach is thoroughly practical. Each chapter offers multiple live code examples designed to encourage experimentation and help you quickly develop mastery. Wherever possible, complete programs and packages are presented to provide realistic use cases, as well as exercises. Coverage includes:-- Quickly getting and installing Go, and building and running Go programs -- Exploring Go's syntax, features, and extensive standard library -- Programming Boolean values, expressions, and numeric types -- Creating, comparing, indexing, slicing, and formatting strings -- Understanding Go's highly efficient built-in collection types: slices and maps -- Using Go as a procedural programming language -- Discovering Go's unusual and flexible approach to object orientation -- Mastering Go's unique, simple, and natural approach to fine-grained concurrency -- Reading and writing binary, text, JSON, and XML files -- Importing and using standard library packages, custom packages, and third-party packages -- Creating, documenting, unit testing, and benchmarking custom packages