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Meet Frank Runtime. Disgraced ex-detective. Hard-boiled private eye. Search expert. When a robbery hits police headquarters, it’s up to Frank Runtime and his extensive search skills to catch the culprits. In this detective story, you’ll learn how to use algorithmic tools to solve the case. Runtime scours smugglers’ boats with binary search, tails spies with a search tree, escapes a prison with depth-first search, and picks locks with priority queues. Joined by know-it-all rookie Officer Notation and inept tag-along Socks, he follows a series of leads in a best-first search that unravels a deep conspiracy. Each chapter introduces a thrilling twist matched with a new algorithmic concept, ending with a technical recap. Perfect for computer science students and amateur sleuths alike, The CS Detective adds an entertaining twist to learning algorithms. Follow Frank’s mission and learn: –The algorithms behind best-first and depth-first search, iterative deepening, parallelizing, binary search, and more –Basic computational concepts like strings, arrays, stacks, and queues –How to adapt search algorithms to unusual data structures –The most efficient algorithms to use in a given situation, and when to apply common-sense heuristic methods
"The Best Practices of Spell Design introduces practical aspects of software development that are often learned through painful experience. Through Marcus and Shelly's quest, the story encourages readers to think about how to write readable, well-tested and maintainable programs."--Page 4 of cover
From wicked queens, beautiful princesses, elves, monsters, and goblins, to giants, glass slippers, poisoned apples, magic keys, and mirrors, the characters and images of fairy tales have cast a spell over readers and audiences, both adults and children, for centuries. These fantastic stories have travelled across cultural borders, and been passed on from generation to generation, ever-changing, renewed with each re-telling. Few forms of literature have greater power to enchant us and rekindle our imagination than a fairy tale. But what is a fairy tale? Where do they come from and what do they mean? What do they try and communicate to us about morality, sexuality, and society? The range of fairy tales stretches across great distances and time; their history is entangled with folklore and myth, and their inspiration draws on ideas about nature and the supernatural, imagination and fantasy, psychoanalysis, and feminism. In this Very Short Introduction, Marina Warner digs into a rich hoard of fairy tales in all their brilliant and fantastical variations, in order to define a genre and evaluate a literary form that keeps shifting through time and history. Drawing on a glittering array of examples, from classics such as Red Riding Hood, Cinderella, and The Sleeping Beauty, the Grimm Brothers' Hansel and Gretel, and Hans Andersen's The Little Mermaid, to modern-day realizations including Walt Disney's Snow White, Warner forms a persuasive case for fairy tale as a crucial repository of human understanding and culture. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
This easy-to-follow introduction to computer science reveals how familiar stories like Hansel and Gretel, Sherlock Holmes, and Harry Potter illustrate the concepts and everyday relevance of computing. Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm. Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter’s world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching. Along the way, Erwig also discusses representations and different ways to organize data; “intractable” problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms. This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.
Lauren Ipsum is a whimsical journey through a land where logic and computer science come to life. Meet Lauren, an adventurer lost in Userland who needs to find her way home by solving a series of puzzles. As she visits places like the Push & Pop Café and makes friends with people like Hugh Rustic and the Wandering Salesman, Lauren learns about computer science without even realizing it—and so do you! Read Lauren Ipsum yourself or with someone littler than you, then flip to the notes at the back of the book to learn more about logic and computer science in the real world. Suggested for ages 10+
"Introduces principles of computational thinking, illustrating high-level computer science concepts, the motivation behind them, and their application in a non-computer fairy tale domain."--Amazon.com.
In 1381 in England, a hunting dog recounts what happens to his beloved master Rufus and his family when they are arrested on suspicion of being part of the peasants' rebellion led by Wat Tyler and the preacher John Ball.
A provocative new theory about fairy tales from one of the world's leading authorities If there is one genre that has captured the imagination of people in all walks of life throughout the world, it is the fairy tale. Yet we still have great difficulty understanding how it originated, evolved, and spread—or why so many people cannot resist its appeal, no matter how it changes or what form it takes. In this book, renowned fairy-tale expert Jack Zipes presents a provocative new theory about why fairy tales were created and retold—and why they became such an indelible and infinitely adaptable part of cultures around the world. Drawing on cognitive science, evolutionary theory, anthropology, psychology, literary theory, and other fields, Zipes presents a nuanced argument about how fairy tales originated in ancient oral cultures, how they evolved through the rise of literary culture and print, and how, in our own time, they continue to change through their adaptation in an ever-growing variety of media. In making his case, Zipes considers a wide range of fascinating examples, including fairy tales told, collected, and written by women in the nineteenth century; Catherine Breillat's film adaptation of Perrault's "Bluebeard"; and contemporary fairy-tale drawings, paintings, sculptures, and photographs that critique canonical print versions. While we may never be able to fully explain fairy tales, The Irresistible Fairy Tale provides a powerful theory of how and why they evolved—and why we still use them to make meaning of our lives.
Algorithmic puzzles are puzzles involving well-defined procedures for solving problems. This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking. The first part of this book is a tutorial on algorithm design strategies and analysis techniques. Algorithm design strategies — exhaustive search, backtracking, divide-and-conquer and a few others — are general approaches to designing step-by-step instructions for solving problems. Analysis techniques are methods for investigating such procedures to answer questions about the ultimate result of the procedure or how many steps are executed before the procedure stops. The discussion is an elementary level, with puzzle examples, and requires neither programming nor mathematics beyond a secondary school level. Thus, the tutorial provides a gentle and entertaining introduction to main ideas in high-level algorithmic problem solving. The second and main part of the book contains 150 puzzles, from centuries-old classics to newcomers often asked during job interviews at computing, engineering, and financial companies. The puzzles are divided into three groups by their difficulty levels. The first fifty puzzles in the Easier Puzzles section require only middle school mathematics. The sixty puzzle of average difficulty and forty harder puzzles require just high school mathematics plus a few topics such as binary numbers and simple recurrences, which are reviewed in the tutorial. All the puzzles are provided with hints, detailed solutions, and brief comments. The comments deal with the puzzle origins and design or analysis techniques used in the solution. The book should be of interest to puzzle lovers, students and teachers of algorithm courses, and persons expecting to be given puzzles during job interviews.
This book is a printed edition of the Special Issue "Fairy Tale and its Uses in Contemporary New Media and Popular Culture" that was published in Humanities