Author and former literary agent Nathan Bransford shares his secrets for creating killer plots, fleshing out your first ideas, crafting compelling characters, and staying sane in the process. Read the guide that New York Times bestselling author Ransom Riggs called "The best how-to-write-a-novel book I've read."

Out-of-this-world antics in this hysterical middle-grade adventure! Sixth-grader Jacob Wonderbar is a master when it comes to disarming and annihilating substitute teachers. But when he and his best friends, Sarah and Dexter, swap a spaceship for a corn dog, they embark on an outer space adventure. And between breaking the universe with an epic explosion, being kidnapped by a space pirate, and surviving a planet that reeks of burp breath, Jacob and his friends are in way over their heads. Action packed with an added dose of heart, Jacob Wonderbar and the Cosmic Space Kapow is sure to captivate middlegrade readers all over the universe.

The story of two journalists whose entanglement in a French philosopher's death becomes a surreal journey into global conspiracy.

Practical data design tips from a data visualization expert of the modern age Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships. Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

A wrenching and layered debut novel about a gay teen’s coming-of-age in the aftermath of his father’s suicide Colin’s family is dissolving in the aftermath of his father’s suicide. While his mother, Diane, retreats into therapy and cynicism, Colin clings to every shred of normal life. Awash with guilt, he casts about for someone to confide in: first his estranged grandfather, then a predatory science teacher. Shunned by his siblings and rejected by his homophobic best friend, Colin immerses himself in the notebooks his father left behind. Full of strange facts, lists, and historical anecdotes that neither Colin nor Diane can understand, the notebooks infect their worldview until they can no longer tell what’s real and what’s imagined. A novel of aching intensity, Some Hell shows how unspeakable tragedy shapes a life, and how imagination saves us from ourselves.

Experience Design 1.1 is the update to the seminal book Experience Design 1, published in 2001. This update expands the text in the descriptive chapters and adds may new online and offline examples. It is a book about today's intersection of disciplines, such as: interaction design, information design, visual design, and more related methodologies are just parts of the whole. Practiced by many people around the world, experience design is as much an approach and ethic, as it is a field of work. Experience Design is not only a way of designing online experience (such as websites), as but more importantly, it is a way of approaching all design, including products, services, environments, and events. Read cover to cover, Experience Design 1.1 is a kind of text book containing theory as well as examples. Opened to a page at random, it's a source of inspiration that can be used to challenge your thinking when working on a creative project.

Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth