The Spark in the Machine

Author: Daniel Keown
Publisher: Singing Dragon
ISBN: 9780857011541
Release Date: 2014-03-20
Genre: Medical

Why can salamanders grow new legs, and young children grow new finger tips, but adult humans can't regenerate? What is the electricity that flows through the human body? Is it the same thing that the Chinese call Qi? If so, what does Chinese medicine know, that western medicine ignores? Dan Keown's highly accessible, witty, and original book shows how western medicine validates the theories of Chinese medicine, and how Chinese medicine explains the mysteries of the body that western medicine largely ignores. He explains the generative force of embryology, how the hearts of two people in love (or in scientific terms `quantum entanglement') truly beat as one, how a cheating heart is also an ill heart (which is why men are twice as likely to die of a sudden heart attack with their mistress than with their wife), how neural crest cells determine our lifespan, and why Proust's madeleines evoked the memories they did. The book shows how the theories of western and Chinese medicine support each other, and how the integrated theory enlarges our understanding of how bodies work on every level. Full of good stories and surprising details, Dan Keown's book is essential reading for anyone who has ever wanted to know how the body really works.

The Spark in the Machine

Author: Daniel Keown
Publisher: Singing Dragon
ISBN: 1848191960
Release Date: 2014
Genre: Medical

Why can salamanders grow new legs, and young children grow new finger tips, but adult humans can't regenerate? What is the electricity that flows through the human body? Is it the same thing that the Chinese call Qi? If so, what does Chinese medicine know, that western medicine ignores? Dan Keown's highly accessible, witty, and original book shows how western medicine validates the theories of Chinese medicine, and how Chinese medicine explains the mysteries of the body that western medicine largely ignores. He explains the generative force of embryology, how the hearts of two people in love (or in scientific terms `quantum entanglement') truly beat as one, how a cheating heart is also an ill heart (which is why men are twice as likely to die of a sudden heart attack with their mistress than with their wife), how neural crest cells determine our lifespan, and why Proust's madeleines evoked the memories they did. The book shows how the theories of western and Chinese medicine support each other, and how the integrated theory enlarges our understanding of how bodies work on every level. Full of good stories and surprising details, Dan Keown's book is essential reading for anyone who has ever wanted to know how the body really works.

Between Heaven and Earth

Author: Harriet Beinfield
Publisher: Ballantine Books
ISBN: 9780804151733
Release Date: 2013-12-18
Genre: Health & Fitness

Two of the foremost American educators and healers in the Chinese medical profession demystify Chinese medicine's centuries-odl approach to health. Combining Eastern traditions with Western sensibilities in a unique blend that is relevant today, BETWEEN HEAVEN AND EARTH opens the door to a vast storehouse of knowledge that bridges the gap between mind and body, theory and practice, professional and self-care, East and West.

Machine Learning with Spark

Author: Nick Pentreath
Publisher: Packt Publishing Ltd
ISBN: 9781783288526
Release Date: 2015-02-20
Genre: Computers

If you are a Scala, Java, or Python developer with an interest in machine learning and data analysis and are eager to learn how to apply common machine learning techniques at scale using the Spark framework, this is the book for you. While it may be useful to have a basic understanding of Spark, no previous experience is required.

Spark for Python Developers

Author: Amit Nandi
Publisher: Packt Publishing Ltd
ISBN: 9781784397371
Release Date: 2015-12-24
Genre: Computers

A concise guide to implementing Spark Big Data analytics for Python developers, and building a real-time and insightful trend tracker data intensive app About This Book Set up real-time streaming and batch data intensive infrastructure using Spark and Python Deliver insightful visualizations in a web app using Spark (PySpark) Inject live data using Spark Streaming with real-time events Who This Book Is For This book is for data scientists and software developers with a focus on Python who want to work with the Spark engine, and it will also benefit Enterprise Architects. All you need to have is a good background of Python and an inclination to work with Spark. What You Will Learn Create a Python development environment powered by Spark (PySpark), Blaze, and Bookeh Build a real-time trend tracker data intensive app Visualize the trends and insights gained from data using Bookeh Generate insights from data using machine learning through Spark MLLIB Juggle with data using Blaze Create training data sets and train the Machine Learning models Test the machine learning models on test datasets Deploy the machine learning algorithms and models and scale it for real-time events In Detail Looking for a cluster computing system that provides high-level APIs? Apache Spark is your answer—an open source, fast, and general purpose cluster computing system. Spark's multi-stage memory primitives provide performance up to 100 times faster than Hadoop, and it is also well-suited for machine learning algorithms. Are you a Python developer inclined to work with Spark engine? If so, this book will be your companion as you create data-intensive app using Spark as a processing engine, Python visualization libraries, and web frameworks such as Flask. To begin with, you will learn the most effective way to install the Python development environment powered by Spark, Blaze, and Bookeh. You will then find out how to connect with data stores such as MySQL, MongoDB, Cassandra, and Hadoop. You'll expand your skills throughout, getting familiarized with the various data sources (Github, Twitter, Meetup, and Blogs), their data structures, and solutions to effectively tackle complexities. You'll explore datasets using iPython Notebook and will discover how to optimize the data models and pipeline. Finally, you'll get to know how to create training datasets and train the machine learning models. By the end of the book, you will have created a real-time and insightful trend tracker data-intensive app with Spark. Style and approach This is a comprehensive guide packed with easy-to-follow examples that will take your skills to the next level and will get you up and running with Spark.

The Spark of Life Electricity in the Human Body

Author: Frances Ashcroft
Publisher: W. W. Norton & Company
ISBN: 9780393089547
Release Date: 2012-09-24
Genre: Science

“A gem that sparkles.”—William Bynum, Wall Street Journal What happens during a heart attack? Can someone really die of fright? What is death, anyway? How does electroshock treatment affect the brain? What is consciousness? The answers to these questions lie in the electrical signals constantly traveling through our bodies, driving our thoughts, our movements, and even the beating of our hearts. The history of how scientists discovered the role of electricity in the human body is a colorful one, filled with extraordinary personalities, fierce debates, and brilliant experiments. Moreover, present-day research on electricity and ion channels has created one of the most exciting fields in science, shedding light on conditions ranging from diabetes and allergies to cystic fibrosis, migraines, and male infertility. With inimitable wit and a clear, fresh voice, award-winning researcher Frances Ashcroft weaves together compelling real-life stories with the latest scientific findings, giving us a spectacular account of the body electric.

Spark in Action

Author: Petar Zecevic
Publisher: Manning Publications
ISBN: 1617292605
Release Date: 2016-08-28
Genre: Computers

Working with big data can be complex and challenging, in part because of the multiple analysis frameworks and tools required. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched data sets. But Spark goes much further than other frameworks. By including machine learning and graph processing capabilities, it makes many specialized data processing platforms obsolete. Spark's unified framework and programming model significantly lowers the initial infrastructure investment, and Spark's core abstractions are intuitive for most Scala, Java, and Python developers. Spark in Action teaches readers to use Spark for stream and batch data processing. It starts with an introduction to the Spark architecture and ecosystem followed by a taste of Spark's command line interface. Readers then discover the most fundamental concepts and abstractions of Spark, particularly Resilient Distributed Datasets (RDDs) and the basic data transformations that RDDs provide. The first part of the book covers writing Spark applications using the the core APIs. Readers also learn how to work with structured data using Spark SQL, how to process near-real time data with Spark Streaming, how to apply machine learning algorithms with Spark MLlib, how to apply graph algorithms on graph-shaped data using Spark GraphX, and an introduction to Spark clustering. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

The Complete Book of Acupuncture

Author: Stephen Thomas Chang
Publisher:
ISBN: PSU:000016391123
Release Date: 1976
Genre: Medical

Explains the basic principles and techniques of the ancient science, locating and diagramming all acupuncture points and prescribing acupressure treatments for specific common diseases.

Big Data Analytics with Spark

Author: Mohammed Guller
Publisher: Apress
ISBN: 9781484209646
Release Date: 2015-12-29
Genre: Computers

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert. Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language. There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost—possibly a big boost—to your career.

Dao of Chinese Medicine

Author: Donald E. Kendall
Publisher: Oxford University Press, USA
ISBN: 0195921046
Release Date: 2002
Genre: Medical

Dao of Chinese Medicine is the first Western text to shed light on the reality of the ancient healing arts of China, revealing that Chinese medical theories are based on important physiological findings. This is in contrast to the Western interpretation, popularized since the 1940s and 50s that Chinese medicine and acupuncture involve undefined energy and blood circulating through imaginary meridians. Unfortunately, the energy-meridian idea condemned Chinese medicine to be viewed in terms of metaphysical beliefs, limiting its acceptance into mainstream health care. It also led to a growing frustration to reinvent acupuncture in Western terms before understanding the true way (dao) of Chinese medicine. Dao of Chinese Medicine sets the record straight, explaining how ancient Chinese physicians developed a physiologically based medicine with the theories supported by human dissection studies and how Chinese medical theories are consistent with 21st century explanations about how acupuncture works.

A Spark of Death

Author: Bernadette Pajer
Publisher: Poisoned Pen Press Inc
ISBN: 9781615952953
Release Date: 2011-10-31
Genre: Fiction

Can death bring a man back to life? When UW Professor Benjamin Bradshaw discovers a despised colleague dead inside the Faraday Cage of the Electric Machine, his carefully controlled world shatters. The facts don’t add up—the police shout murder—and Bradshaw is the lone suspect. To protect his young son and clear his name, he must find the killer. Seattle in 1901 is a bustling blend of frontier attitude and cosmopolitan swagger. The Snoqualmie Falls Power Plant lights the city, but to most Seattleites, electricity is new-fangled and dangerous. The public wants a culprit—they want Bradshaw behind bars. The killer wants Bradshaw dead. His life and liberty threatened, Bradshaw discovers the thrill of investigation as he’s thrust deeper into the hunt. Questions abound. How had the Electric Machine’s Tesla Coil delivered a fatal shock? Was the murder personal—or connected to President McKinley’s planned visit? Were students involved, or in danger? And why had Bradshaw’s best friend, Henry, fled to Alaska the day of the murder? When Henry’s niece Missouri appears on Bradshaw’s porch in need of a home, her unorthodox views and femininity confuse and intrigue him as he struggles to protect his own haunting secret. Danger and death lurk everywhere—disguised as accidents. Has Bradshaw come alive again only to lose all he holds dear? Before it’s too late, will he discover the circuit path that led to a spark of death?

Spark The Definitive Guide

Author: Bill Chambers
Publisher: "O'Reilly Media, Inc."
ISBN: 9781491912294
Release Date: 2018-02-08
Genre: Computers

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

Apache Spark in 24 Hours Sams Teach Yourself

Author: Jeffrey Aven
Publisher: Sams Publishing
ISBN: 9780134445823
Release Date: 2016-08-31
Genre: Computers

Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark’s amazing speed, scalability, simplicity, and versatility. This book’s straightforward, step-by-step approach shows you how to deploy, program, optimize, manage, integrate, and extend Spark–now, and for years to come. You’ll discover how to create powerful solutions encompassing cloud computing, real-time stream processing, machine learning, and more. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Whether you are a data analyst, data engineer, data scientist, or data steward, learning Spark will help you to advance your career or embark on a new career in the booming area of Big Data. Learn how to • Discover what Apache Spark does and how it fits into the Big Data landscape • Deploy and run Spark locally or in the cloud • Interact with Spark from the shell • Make the most of the Spark Cluster Architecture • Develop Spark applications with Scala and functional Python • Program with the Spark API, including transformations and actions • Apply practical data engineering/analysis approaches designed for Spark • Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output • Optimize Spark solution performance • Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra) • Leverage cutting-edge functional programming techniques • Extend Spark with streaming, R, and Sparkling Water • Start building Spark-based machine learning and graph-processing applications • Explore advanced messaging technologies, including Kafka • Preview and prepare for Spark’s next generation of innovations Instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Spark to solve a wide spectrum of Big Data problems.

Learning Spark

Author: Holden Karau
Publisher: "O'Reilly Media, Inc."
ISBN: 9781449359058
Release Date: 2015-01-28
Genre: Computers

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables

High Performance Spark

Author: Holden Karau
Publisher: "O'Reilly Media, Inc."
ISBN: 9781491943175
Release Date: 2017-05-25
Genre: COMPUTERS

Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, you’ll also learn how to make it sing. With this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD transformations How to work around performance issues in Spark’s key/value pair paradigm Writing high-performance Spark code without Scala or the JVM How to test for functionality and performance when applying suggested improvements Using Spark MLlib and Spark ML machine learning libraries Spark’s Streaming components and external community packages