Chad Orzel, "Eureka: Discovering Your Inner Scientist"
ISBN: 0465074960 | 2014 | PDF | 368 pages | 4 MB
Even in the twenty-first century the popular image of a scientist is a reclusive genius in a lab coat, mixing formulas or working out equations inaccessible to all but the initiated few. The idea that scientists are somehow smarter than the rest of us is a common, yet dangerous, misconception, getting us off the hook for not knowing—or caring—how the world works. How did science become so divorced from our everyday experience? Is scientific understanding so far out of reach for the non-scientists among us?
As science popularizer Chad Orzel argues in Eureka, even the people who are most forthright about hating science are doing science, often without even knowing it. Orzel shows that science isn't something alien and inscrutable beyond the capabilities of ordinary people, it's central to the human experience. Every human can think like a scientist, and regularly does so in the course of everyday activities. The disconnect between this reality and most people's perception is mostly due to the common misconception that science is a body of (boring, abstract, often mathematical) facts. In truth, science is best thought of as a process: Looking at the world, Thinking about what makes it work, Testing your mental model by comparing it to reality, and Telling others about your results. The facts that we too often think of as the whole of science are merely the product of this scientific process. Eureka shows that this process is one we all regularly use, and something that everybody can do.
By revealing the connection between the everyday activities that people do—solving crossword puzzles, playing sports, or even watching mystery shows on television—and the processes used to make great scientific discoveries, Orzel shows that if we recognize the process of doing science as something familiar, we will be better able to appreciate scientific discoveries, and use scientific facts and thinking to help address the problems that affect us all.
Monday, May 25, 2015
Eureka: Discovering Your Inner Scientist
The Cambridge Companion to Paradise Lost
Louis Schwartz, "The Cambridge Companion to Paradise Lost"
2014 | ISBN-10: 1107029465, 1107664403 | 238 pages | PDF | 71 MB
2014 | ISBN-10: 1107029465, 1107664403 | 238 pages | PDF | 71 MB
Fifteen short, accessible essays exploring the most important topics and themes in John Milton's masterpiece, Paradise Lost. The essays invite readers to begin their own independent exploration of the poem by equipping them with useful background knowledge, introducing them to key passages, and acquainting them with the current state of critical debates. Chapters are arranged to mirror the way the poem itself unfolds, offering exactly what readers need as they approach each movement of its grand design. Part I introduces the characters who frame the poem's story and set its plot and theological dynamics in motion. Part II deals with contextual issues raised by the early books, while Part III examines the epic's central and final episodes. The volume concludes with a meditation on the history of the poem's reception and a detailed guide to further reading, offering students and teachers of Milton fresh critical insights and resources for continuing scholarship.
Fast Data Processing with Spark, Second Edition
Krishna Sankar, Holden Karau, "Fast Data Processing with Spark, Second Edition"
2015 | ISBN-10: 178439257X | 184 pages | PDF | 9 MB
2015 | ISBN-10: 178439257X | 184 pages | PDF | 9 MB
Perform real-time analytics using Spark in a fast, distributed, and scalable way
About This Book
Develop a machine learning system with Spark's MLlib and scalable algorithms
Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
This is a step-by-step tutorial that unleashes the power of Spark and its latest features
Who This Book Is For
Fast Data Processing with Spark – Second Edition is for software developers who want to learn how to write distributed programs with Spark. It will help developers who have had problems that were too big to be dealt with on a single computer. No previous experience with distributed programming is necessary. This book assumes knowledge of either Java, Scala, or Python.
In Detail
Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), large-scale graph processing and analysis (GraphX), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big datasets.
Fast Data Processing with Spark – Second Edition covers how to write distributed programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API to developing analytics applications and tuning them for your purposes.
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