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Bestselling author and renowned psychiatrist Dr. Ratey presents a groundbreaking and fascinating investigation into the transformative effects of exercise on the brain.
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As the evil Nacht spreads his darkness across the valley, Tom and his friends, the Bone family, desperately try to find the Spark that will heal the Dreaming and save the world.
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Eighteen-year-old Becky and her best friend, Meghan, can't wait to join the army and start their basic training in September. Becky especially yearns to leave her rundown neighbourhood in Langley, British Columbia, as it will soon become flooded by rising sea levels. But when they head to Reunion Square to meet their friends, Connor and Robert, disaster strikes and their lives are changed forever. A massive earthquake ignites widespread panic, and people start to run in fear of a tsunami. Becky and Connor are separated from Meghan and Robert. Forced to leave the area, Becky and Connor find her brother, Tommy, and they make their way back to the siblings' home in hopes that Meghan and Robert are going there too. But as they wait for their friends, Langley goes up in flames and the trio must flee by car. With nowhere else to go, they decide to head to Winnipeg, Manitoba, where Becky's parents are staying. En route, they learn that a deadly new virus, with horrific symptoms, is tearing through British Columbia. They will have to make it to Manitoba before the borders close. Meanwhile, Tommy suffers severe drug withdrawal and shares a devastating confession with Becky. Tension rises as fear grips the country and more disasters impede their way. How will they possibly survive?
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Kristine Barnett’s son Jacob has an IQ higher than Einstein’s, a photographic memory, and he taught himself calculus in two weeks. At nine he started working on an original theory in astrophysics that experts believe may someday put him in line for a Nobel Prize, and at age twelve he became a paid researcher in quantum physics. But the story of Kristine’s journey with Jake is all the more remarkable because his extraordinary mind was almost lost to autism. At age two, when Jake was diagnosed, Kristine was told he might never be able to tie his own shoes. The Spark is a remarkable memoir of mother and son. Surrounded by “experts” at home and in special ed who tried to focus on Jake’s most basic skills and curtail his distracting interests—moving shadows on the wall, stars, plaid patterns on sofa fabric—Jake made no progress, withdrew more and more into his own world, and eventually stopped talking completely. Kristine knew in her heart that she had to make a change. Against the advice of her husband, Michael, and the developmental specialists, Kristine followed her instincts, pulled Jake out of special ed, and began preparing him for mainstream kindergarten on her own. Relying on the insights she developed at the daycare center she runs out of the garage in her home, Kristine resolved to follow Jacob’s “spark”—his passionate interests. Why concentrate on what he couldn’t do? Why not focus on what he could? This basic philosophy, along with her belief in the power of ordinary childhood experiences (softball, picnics, s’mores around the campfire) and the importance of play, helped Kristine overcome huge odds. The Barnetts were not wealthy people, and in addition to financial hardship, Kristine herself faced serious health issues. But through hard work and determination on behalf of Jake and his two younger brothers, as well as an undying faith in their community, friends, and family, Kristine and Michael prevailed. The results were beyond anything anyone could have imagined. Dramatic, inspiring, and transformative, The Spark is about the power of love and courage in the face of overwhelming obstacles, and the dazzling possibilities that can occur when we learn how to tap the true potential that lies within every child, and in all of us. Praise for The Spark “[An] amazing memoir . . . compulsive reading.”—The Washington Post “The Spark is about the transformative power of unconditional love. If you have a child who’s ‘different’—and who doesn’t?—you won’t be able to put it down.”—Sylvia Nasar, author of A Beautiful Mind “Love, illness, faith, tragedy and triumph—it’s all here. . . . Jake Barnett’s story contains wisdom for every parent.”—Newsday “This eloquent memoir about an extraordinary boy and a resilient and remarkable mother will be of interest to every parent and/or educator hoping to nurture a child’s authentic ‘spark.’”—Publishers Weekly “Compelling . . . Jake is unusual, but so is his superhuman mom.”—Booklist “The Spark describes in glowing terms the profound intensity with which a mother can love her child.”—Andrew Solomon, author of The Noonday Demon and Far from the Tree “Every parent and teacher should read this fabulous book!”—Temple Grandin, author of Thinking in Pictures and co-author of The Autistic Brain
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Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow
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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
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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
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"A substantial addition to Spark criticism, of which there has been surprisingly little published in recent years."--Aileen Christianson, University of Edinburgh --Book Jacket
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A fresh look at electricity and its powerful role in life on Earth When we think of electricity, we likely imagine the energy humming inside our home appliances or lighting up our electronic devices—or perhaps we envision the lightning-streaked clouds of a stormy sky. But electricity is more than an external source of power, heat, or illumination. Life at its essence is nothing if not electrical. The story of how we came to understand electricity’s essential role in all life is rooted in our observations of its influences on the body—influences governed by the body’s central nervous system. Spark explains the science of electricity from this fresh, biological perspective. Through vivid tales of scientists and individuals—from Benjamin Franklin to Elon Musk—Timothy Jorgensen shows how our views of electricity and the nervous system evolved in tandem, and how progress in one area enabled advancements in the other. He explains how these developments have allowed us to understand—and replicate—the ways electricity enables the body’s essential functions of sight, hearing, touch, and movement itself. Throughout, Jorgensen examines our fascination with electricity and how it can help or harm us. He explores a broad range of topics and events, including the Nobel Prize–winning discoveries of the electron and neuron, the history of experimentation involving electricity’s effects on the body, and recent breakthroughs in the use of electricity to treat disease. Filled with gripping adventures in scientific exploration, Spark offers an indispensable look at electricity, how it works, and how it animates our lives from within and without.
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Return to the multiverse of Magic: The Gathering as the hunt for Liliana Vess is on in the aftermath of the War of the Spark. The Planeswalkers have defeated Nicol Bolas and saved the Multiverse—though at grave cost. The living have been left to pick up the pieces and mourn the dead. But one loss is almost too great to bear: Gideon Jura, champion of justice and shield of the Gatewatch, is gone. As his former comrades Jace and Chandra struggle to rebuild from this tragedy, their future, like the future of the Gatewatch, remains uncertain. As the Gatewatch’s newest member, Kaya aims to help write that future. In joining, she pledged an oath to protect the living and the dead, but now that oath will be tested. The grieving guild masters of Ravnica have tasked her with a grave mission suited to her talents as a hunter and assassin—a mission she is ordered to keep secret from the Gatewatch. She must track down and exact retribution on the traitor Liliana Vess. But Liliana Vess has no interest in being found. Forsaken by her friends, she fled Ravnica after the defeat of Bolas. She was hostage to his wicked will, forced to assist in his terrible atrocities on pain of death—until Gideon, the last one who believed in her goodness, died in her place. Haunted by Gideon’s final gift, and hunted by former allies, Liliana now returns to a place she’d thought she’d never see again, the only place she has left: home.
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Naturally quiet since birth, Mina and her stormbeast, Pixit, lead others like themselves in defying authority and attempting to spread the truth that Alorria's idyllic weather comes at a steep cost.
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A new, sexy standalone from #1 New York Times Bestseller, Vi Keeland. Before I even met Donovan Decker, I knew his shoe size. You see, I'd gone away for a few days, and in my haste to get out of the airport, I'd grabbed the wrong suitcase. After checking out the expensive footwear and tailored clothes, I dialed the number on the luggage tag hoping maybe Mister Big Spender might have my bag. A deep, velvety voice answered, and as luck would have it, he had my suitcase, too. Donovan and I met at a coffee shop to do the exchange. Turned out, it wasn't just his voice that was sexy. The man holding my luggage was absolutely gorgeous, and we had an immediate spark. He got me to admit that I'd snooped in his bag and then convinced me to make it up to him by letting him buy me coffee. Coffee led to dinner, dinner led to dessert, and dessert led to spending an entire weekend together. Donovan wasn't just handsome with a panty-dropping voice. He was also funny, smart, and surprisingly down to earth for a man who wore seven-hundred-dollar shoes. Did I mention he also did my laundry while I slept? Definitely too good to be true. So what did I do to repay him for his kindness? I waited until he was in the shower, then ghosted him. My life was too complicated for such a great guy. In the months that passed, I thought about Donovan often. But New York City had eight-million people, so what were the chances I'd run into him? Then again, what were the chances I'd run into him a year later...when I'd just started dating his boss?
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Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This book walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in Pro Spark Streaming include social media, the sharing economy, finance, online advertising, telecommunication, and IoT. In the last few years, Spark has become synonymous with big data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing model. Pro Spark Streaming by Zubair Nabi will enable you to become a specialist of latency sensitive applications by leveraging the key features of DStreams, micro-batch processing, and functional programming. To this end, the book includes ready-to-deploy examples and actual code. Pro Spark Streaming will act as the bible of Spark Streaming. What You'll Learn Discover Spark Streaming application development and best practices Work with the low-level details of discretized streams Optimize production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and Nagios Ingest data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiver Integrate and couple with HBase, Cassandra, and Redis Take advantage of design patterns for side-effects and maintaining state across the Spark Streaming micro-batch model Implement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkR Use streaming machine learning, predictive analytics, and recommendations Mesh batch processing with stream processing via the Lambda architecture Who This Book Is For Data scientists, big data experts, BI analysts, and data architects.
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Earth women better watch out. Things are about to heat up. NYT Bestselling Author, Michelle M. Pillow, shows what happens when hot aliens looking for love land in Las Vegas, the city of decadence and sin. Mining ash on a remote planet where temperatures reach hellish degrees doesn't leave Kal (aka Spark) much room for dating. Lucky for this hard-working man, a new corporation Galaxy Alien Mail Order Brides is ready to help him find the girl of his dreams. Does it really matter that he lied on his application and really isn’t looking for long term, but rather some fast action? Earth women better watch out. Things are about to heat up. Galaxy Alien Mail Order Brides series: Spark Flame Blaze Ice Frost Snow Genres: Paranormal, Science Fiction, Fantasy, Sci-Fi, Alien Romance, Paranormal Romance, Alpha Male, Romance, fated mates, action and adventure, romantic comedy, fantasy, sci-fi, Science Fiction & Fantasy, First Contact, alien contact, comedy, galactic romance, galactic quest, hea, humor, humorous romance, romance, romantic adventure, sfr, sci-fi romance, space adventure, space adventure, space exploration, space romance, miner, blue collar hero, contemporary, Las Vegas, mail order brides, interstellar romance A Qurilixen World Novella The Qurilixen World is an extensive collection of paranormal, fantasy, and science fiction romance novels by award-winning author, Michelle M. Pillow, and includes several series installments: Dragon Lords, Lords of the Var, Space Lords, Captured by a Dragon-shifter, Galaxy Alien Mail Order Brides, Dynasty Lords, Qurilixen Lords, and more. Intergalactic Dating Agency
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Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API About This Book Learn about the design and implementation of streaming applications, machine learning pipelines, deep learning, and large-scale graph processing applications using Spark SQL APIs and Scala. Learn data exploration, data munging, and how to process structured and semi-structured data using real-world datasets and gain hands-on exposure to the issues and challenges of working with noisy and "dirty" real-world data. Understand design considerations for scalability and performance in web-scale Spark application architectures. Who This Book Is For If you are a developer, engineer, or an architect and want to learn how to use Apache Spark in a web-scale project, then this is the book for you. It is assumed that you have prior knowledge of SQL querying. A basic programming knowledge with Scala, Java, R, or Python is all you need to get started with this book. What You Will Learn Familiarize yourself with Spark SQL programming, including working with DataFrame/Dataset API and SQL Perform a series of hands-on exercises with different types of data sources, including CSV, JSON, Avro, MySQL, and MongoDB Perform data quality checks, data visualization, and basic statistical analysis tasks Perform data munging tasks on publically available datasets Learn how to use Spark SQL and Apache Kafka to build streaming applications Learn key performance-tuning tips and tricks in Spark SQL applications Learn key architectural components and patterns in large-scale Spark SQL applications In Detail In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems. This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL. It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project. Style and approach This book is a hands-on guide to designing, building, and deploying Spark SQL-centric production applications at scale.
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Build, process and analyze large-scale graph data effectively with Spark About This Book Find solutions for every stage of data processing from loading and transforming graph data to Improve the scalability of your graphs with a variety of real-world applications with complete Scala code. A concise guide to processing large-scale networks with Apache Spark. Who This Book Is For This book is for data scientists and big data developers who want to learn the processing and analyzing graph datasets at scale. Basic programming experience with Scala is assumed. Basic knowledge of Spark is assumed. What You Will Learn Write, build and deploy Spark applications with the Scala Build Tool. Build and analyze large-scale network datasets Analyze and transform graphs using RDD and graph-specific operations Implement new custom graph operations tailored to specific needs. Develop iterative and efficient graph algorithms using message aggregation and Pregel abstraction Extract subgraphs and use it to discover common clusters Analyze graph data and solve various data science problems using real-world datasets. In Detail Apache Spark is the next standard of open-source cluster-computing engine for processing big data. Many practical computing problems concern large graphs, like the Web graph and various social networks. The scale of these graphs - in some cases billions of vertices, trillions of edges - poses challenges to their efficient processing. Apache Spark GraphX API combines the advantages of both data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark data-parallel framework. This book will teach the user to do graphical programming in Apache Spark, apart from an explanation of the entire process of graphical data analysis. You will journey through the creation of graphs, its uses, its exploration and analysis and finally will also cover the conversion of graph elements into graph structures. This book begins with an introduction of the Spark system, its libraries and the Scala Build Tool. Using a hands-on approach, this book will quickly teach you how to install and leverage Spark interactively on the command line and in a standalone Scala program. Then, it presents all the methods for building Spark graphs using illustrative network datasets. Next, it will walk you through the process of exploring, visualizing and analyzing different network characteristics. This book will also teach you how to transform raw datasets into a usable form. In addition, you will learn powerful operations that can be used to transform graph elements and graph structures. Furthermore, this book also teaches how to create custom graph operations that are tailored for specific needs with efficiency in mind. The later chapters of this book cover more advanced topics such as clustering graphs, implementing graph-parallel iterative algorithms and learning methods from graph data. Style and approach A step-by-step guide that will walk you through the key ideas and techniques for processing big graph data at scale, with practical examples that will ensure an overall understanding of the concepts of Spark.
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This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power SystemsTM platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and analyze data sets to improve business outcomes. This book documents topics to demonstrate and take advantage of the analytics strengths of the IBM POWER8® platform, the IBM analytics software portfolio, and selected third-party tools to help solve customer's data analytic workload requirements. This book describes how to plan, prepare, install, integrate, manage, and show how to use the IBM Data Engine for Hadoop and Spark solution to run analytic workloads on IBM POWER8. In addition, this publication delivers documentation to complement available IBM analytics solutions to help your data analytic needs. This publication strengthens the position of IBM analytics and big data solutions with a well-defined and documented deployment model within an IBM POWER8 virtualized environment so that customers have a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted at technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering analytics solutions and support on IBM Power Systems.
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Perfect for readers of Song for a Whale and Counting by 7s, a neurodivergent girl campaigns for a memorial when she learns that her small Scottish town used to burn witches simply because they were different. "A must-read for students and adults alike." -School Library Journal, Starred Review Ever since Ms. Murphy told us about the witch trials that happened centuries ago right here in Juniper, I can’t stop thinking about them. Those people weren’t magic. They were like me. Different like me. I’m autistic. I see things that others do not. I hear sounds that they can ignore. And sometimes I feel things all at once. I think about the witches, with no one to speak for them. Not everyone in our small town understands. But if I keep trying, maybe someone will. I won’t let the witches be forgotten. Because there is more to their story. Just like there is more to mine. Award-winning and neurodivergent author Elle McNicoll delivers an insightful and stirring debut about the European witch trials and a girl who refuses to relent in the fight for what she knows is right.
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Download History and Futureof Spark Ignition Engines a Report Prepared for the Committee on Public Works by the Environmental Policy Division of the Congressional Research Service at the Request of Senator Edmund S Muskie September 1973 book written by United States. Congress. Senate. Committee on Public Works, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.
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This work describes an experimental investigation with the aim to evaluate and establish wire spark erosion machining (WSEM) as a viable alternative for high quality miniature gear manufacturing. External spur type miniature brass (ASTM 858) gears with 12 teeth, 9.8 mm outside diameter and 5 mm face width were manufactured by WSEM. The research work was accomplished in four distinct experimental stages viz., preliminary, pilot, main and confirmation. The aim, scope and findings of each stage are progressively presented and discussed. In essence, the investigation found that it was possible to manufacture miniature gears to high quality by using WSEM. Gears up to DIN 5 quality with a good surface finish (1.2 μm average roughness) and satisfactory surface integrity were achieved. The results suggest that WSEM should be considered a viable alternative to conventional miniature gear manufacturing techniques and that in some instances it may even be superior. This work will prove useful to researchers and professionals in the field of miniature and micro-scale manufacturing and machining.