Richard C. Harris, Certified World Class Speaking Coach "An insightful read" ~Dennis Waller, Top 500 Reviewer "Superb communication advice" ~ Larry Nocella MASTER THE ONE THING ALL GREAT TED TALKS HAVE IN COMMON What is the secret to delivering a great TED talk? What is the magic ingredient that makes a TED talk captivating? And more importantly, how can you use those secrets to make your presentations more powerful, dynamic and engaging? To try to answer these questions, I studied over 200 of the best TED talks. I broke each TED talk down in terms of structure, message and delivery. Here’s what I discovered. After studying over 200 TED talks, the one commonality among all the great TED talks is that they contain stories. UTILIZE ADVANCED STORYTELLING TECHNIQUES TO INJECT LIFE INTO YOUR PRESENTATIONS Essentially, the best speakers on the TED stage were the ones who had mastered the art of storytelling. They had mastered how to craft and present their stories in a way that allowed them to share their message with the world without seeming like they were lecturing their audience. DISCOVER THE 23 STORYTELLING SECRETS OF THE BEST TED TALKS In this short but powerful guide, you’re going to learn how to use stories to make your presentations engaging and entertaining. Using case studies drawn from TED talks by Sir Ken Robinson, Dr. Jill Bolte Taylor, Susan Cain, Leslie Morgan Steiner, Mike Rowe and Malcolm Gladwell, you’ll learn how to craft stories that keep your audience mesmerized. By the time you’ve finished reading this storytelling manifesto, you will have picked up twenty-three principles on how to create stories that keep your audiences mesmerized. Whether you are giving a TED talk or a corporate presentation, you will be able to apply the principles you pick up in this guide to make your next talk a roaring success! RAVE REVIEWS FROM READERS "No more boring speeches and presentations" ~ Douglas L. Coppock "A crisp and no fluff book" ~ Kam Syed "A great book on storytelling" ~ David Bishop "Excellent book for any speaker" ~ Dean Krosecz Ready? Then let’s get started...

    Scott McCloud's Understanding Comics is a seminal examination of comics art: its rich history, surprising technical components, and major cultural significance. Explore the secret world between the panels, through the lines, and within the hidden symbols of a powerful but misunderstood art form.

    It took the open source world by storm since its inception in 2005, and is used by small development shops and giants like Google, Red Hat, and IBM, and of course many open source projects.A book by Git experts to turn you into a Git expert. Introduces the world of distributed version control Shows how to build a Git development workflow.

    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.

    Rarely has a book so packed with accurate and well researched factual information been so widely read and popularly acclaimed. It has played a key role in the spread of general interest in language matters, generating further publications and broadcasting events for an avid audience. Its First Edition appeared in hardback in 1995 and a revised paperback in 1997. There have been numerous subsequent updated reprintings; but this Second Edition now presents an overhaul of the subject for a new generation of language-lovers and of teachers, students and professional English-users concerned with their own linguistic legacy.The book offers a unique experience of the English language, exploring its past, present and future. David Crystal systematically explains the history, structure, variety and range of uses of English worldwide, employing a rich apparatus of text, pictures, tables, maps and graphics.The length of the Second Edition has increased by 16 pages and there are 44 new illustrations, a new chapter, extensive new material on world English and Internet English, and a complete updating of statistics, further reading suggestions and other references throughout the book.

    You think you can solve your human error problem by telling people to be more careful, by reprimanding the miscreants, by issuing a new rule or procedure. These are all expressions of 'The Bad Apple Theory', where you believe your system is basically safe if it were not for those few unreliable people in it. This old view of human error is increasingly outdated and will lead you nowhere. The new view, in contrast, understands that a human error problem is actually an organizational problem. Finding a 'human error' by any other name, or by any other human, is only the beginning of your journey, not a convenient conclusion. The new view recognizes that systems are inherent trade-offs between safety and other pressures (for example: production). People need to create safety through practice, at all levels of an organization. Breaking new ground beyond its successful predecessor, The Field Guide to Understanding Human Error guides you through the traps and misconceptions of the old view. It explains how to avoid the hindsight bias, to zoom out from the people closest in time and place to the mishap, and resist the temptation of counterfactual reasoning and judgmental language. But it also helps you look forward. It suggests how to apply the new view in building your safety department, handling questions about accountability, and constructing meaningful countermeasures. It even helps you in getting your organization to adopt the new view and improve its learning from failure. So if you are faced by a human error problem, abandon the fallacy of a quick fix. Read this book.

    Some years before that, in 1977, Eco published a little book for his students, "How to Write a Thesis," in which he offered useful advice on all the steps involved in researching and writing a thesis -- from choosing a topic to organizing a work schedule to writing the final draft. Now in its twenty-third edition in Italy and translated into seventeen languages, "How to Write a Thesis "has become a classic. Remarkably, this is its first, long overdue publication in English.Eco's approach is anything but dry and academic. He not only offers practical advice but also considers larger questions about the value of the thesis-writing exercise. "How to Write a Thesis" is unlike any other writing manual. It reads like a novel. It is opinionated. It is frequently irreverent, sometimes polemical, and often hilarious. Eco advises students how to avoid "thesis neurosis" and he answers the important question "Must You Read Books?" He reminds students "You are not Proust" and "Write everything that comes into your head, but only in the first draft." Of course, there was no Internet in 1977, but Eco's index card research system offers important lessons about critical thinking and information curating for students of today who may be burdened by Big Data."How to Write a Thesis" belongs on the bookshelves of students, teachers, writers, and Eco fans everywhere. Already a classic, it would fit nicely between two other classics: "Strunk and White" and "The Name of the Rose."This MIT Press edition will be available in three different cover colors.ContentsThe Definition and Purpose of a ThesisChoosing the TopicConducting ResearchThe Work Plan and the Index CardsWriting the ThesisThe Final Draft

    In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.

    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.

    Starting at 'The Beginning' and concluding with 'The End', chapters range from the familiar, such as 'Character', 'Narrative' and 'The Author', to the more unusual, such as 'Secrets', 'Pleasure' and 'Ghosts'. Now in its fifth edition, Bennett and Royle's classic textbook successfully illuminates complex ideas by engaging directly with literary works, so that a reading of Jane Eyre opens up ways of thinking about racial difference, for example, while Chaucer, Raymond Chandler and Monty Python are all invoked in a discussion of literature and laughter.The fifth edition has been revised throughout and includes four new chapters - 'Feelings', 'Wounds', 'Body' and 'Love' - to incorporate exciting recent developments in literary studies. In addition to further reading sections at the end of each chapter, the book contains a comprehensive bibliography and a glossary of key literary terms.A breath of fresh air in a field that can often seem dry and dauntingly theoretical, this book will open the reader's eyes to the exhilarating possibilities of reading and studying literature.

    But if one per year is good, how about Seven Languages in Seven Weeks? In this book you'll get a hands-on tour of Clojure, Haskell, Io, Prolog, Scala, Erlang, and Ruby. Whether or not your favorite language is on that list, you'll broaden your perspective of programming by examining these languages side-by-side. You'll learn something new from each, and best of all, you'll learn how to learn a language quickly. Ruby, Io, Prolog, Scala, Erlang, Clojure, Haskell. With Seven Languages in Seven Weeks, by Bruce A. Tate, you'll go beyond the syntax-and beyond the 20-minute tutorial you'll find someplace online. This book has an audacious goal: to present a meaningful exploration of seven languages within a single book. Rather than serve as a complete reference or installation guide, Seven Languages hits what's essential and unique about each language. Moreover, this approach will help teach you how to grok new languages. For each language, you'll solve a nontrivial problem, using techniques that show off the language's most important features. As the book proceeds, you'll discover the strengths and weaknesses of the languages, while dissecting the process of learning languages quickly--for example, finding the typing and programming models, decision structures, and how you interact with them. Among this group of seven, you'll explore the most critical programming models of our time. Learn the dynamic typing that makes Ruby, Python, and Perl so flexible and compelling. Understand the underlying prototype system that's at the heart of JavaScript. See how pattern matching in Prolog shaped the development of Scala and Erlang. Discover how pure functional programming in Haskell is different from the Lisp family of languages, including Clojure. Explore the concurrency techniques that are quickly becoming the backbone of a new generation of Internet applications. Find out how to use Erlang's let-it-crash philosophy for building fault-tolerant systems. Understand the actor model that drives concurrency design in Io and Scala. Learn how Clojure uses versioning to solve some of the most difficult concurrency problems. It's all here, all in one place. Use the concepts from one language to find creative solutions in another-or discover a language that may become one of your favorites.

    'Asking the Right Questions' helps students bridge the gap between simply memorising or blindly accepting information, and the greater challenge of critical analysis and synthesis.

    It’s the harmful debris of your education—a mixture of half-truths, myths, and false assumptions that prevents you from writing well. Drawing on years of experience as a writer and teacher of writing, Verlyn Klinkenborg offers an approach to writing that will change the way you work and think. There is no gospel, no orthodoxy, no dogma in this book. What you’ll find here isn’t the way to write. Instead, you’ll find a way to clear your mind of illusions about writing and discover how you write. Several Short Sentences About Writing is a book of first steps and experiments. They will revolutionize the way you think and perceive, and they will change forever the sense of your own authority as a writer. This is a book full of learning, but it’s also a book full of unlearning—a way to recover the vivid, rhythmic, poetic sense of language you once possessed. An indispensable and unique book that will give you a clear understanding of how to think about what you do when you write and how to improve the quality of your writing.

    Smoking has gone from doctor recommended to deadly. We used to think the Earth was the center of the universe and that Pluto was a planet. For decades, we were convinced that the brontosaurus was a real dinosaur. In short, what we know about the world is constantly changing.   But it turns out there’s an order to the state of knowledge, an explanation for how we know what we know. Samuel Arbesman is an expert in the field of scientometrics—literally the science of science. Knowl­edge in most fields evolves systematically and predict­ably, and this evolution unfolds in a fascinating way that can have a powerful impact on our lives.   Doctors with a rough idea of when their knowl­edge is likely to expire can be better equipped to keep up with the latest research. Companies and govern­ments that understand how long new discoveries take to develop can improve decisions about allocating resources. And by tracing how and when language changes, each of us can better bridge gen­erational gaps in slang and dialect.   Just as we know that a chunk of uranium can break down in a measurable amount of time—a radioactive half-life—so too any given field’s change in knowledge can be measured concretely. We can know when facts in aggregate are obsolete, the rate at which new facts are created, and even how facts spread.   Arbesman takes us through a wide variety of fields, including those that change quickly, over the course of a few years, or over the span of centuries. He shows that much of what we know consists of “mesofacts”—facts that change at a middle timescale, often over a single human lifetime. Throughout, he of­fers intriguing examples about the face of knowledge: what English majors can learn from a statistical analysis of The Canterbury Tales, why it’s so hard to measure a mountain, and why so many parents still tell kids to eat their spinach because it’s rich in iron.   The Half-life of Facts is a riveting journey into the counterintuitive fabric of knowledge. It can help us find new ways to measure the world while accepting the limits of how much we can know with certainty.

      Since taking over TED in the early 2000s, Chris Anderson has shown how carefully crafted short talks can be the key to unlocking empathy, stirring excitement, spreading knowledge, and promoting a shared dream. Done right, a talk can electrify a room and transform an audience’s worldview. Done right, a talk is more powerful than anything in written form.         This book explains how the miracle of powerful public speaking is achieved, and equips you to give it your best shot. There is no set formula; no two talks should be the same. The goal is for you to give the talk that only you can give. But don’t be intimidated. You may find it more natural than you think.         Chris Anderson has worked behind the scenes with all the TED speakers who have inspired us the most, and here he shares insights from such favorites as Sir Ken Robinson, Amy Cuddy, Bill Gates, Elizabeth Gilbert, Salman Khan, Dan Gilbert, Mary Roach, Matt Ridley, and dozens more — everything from how to craft your talk’s content to how you can be most effective on stage. This is the 21st-century’s new manual for truly effective communication and it is a must-read for anyone who is ready to create impact with their ideas.