Testing In Scala
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Testing In Scala
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Author : Daniel Hinojosa
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013
Testing In Scala written by Daniel Hinojosa and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
If you build your Scala application through Test-Driven Development, you'll quickly see the advantages of testing before you write production code. This hands-on book shows you how to create tests with ScalaTest and the Specs2--two of the best testing frameworks available--and how to run your tests in the Simple Build Tool (SBT) designed specifically for Scala projects. By building a sample digital jukebox application, you'll discover how to isolate your tests from large subsystems and networks with mocking code, and how to use the ScalaCheck library for automated specification-based testing. If you're familiar with Scala, Ruby, or Python, this book is for you. Get an overview of Test-Driven Development Start a simple project with SBT and create tests before you write code Dive into SBT's basic commands, interactive mode, packaging, and history Use ScalaTest both in the command line and with SBT, and learn how to incorporate JUnit and TestNG Work with the Specs2 framework, including Specification styles, matchers DSLs, and Data Tables Understand mocking by using Java frameworks EasyMock and Mockito, and the Scala-only framework ScalaMock Automate testing by using ScalaCheck to generate fake data
Testing In Scala
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Author : Daniel Hinojosa
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-01-24
Testing In Scala written by Daniel Hinojosa and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Computers categories.
If you build your Scala application through Test-Driven Development, you’ll quickly see the advantages of testing before you write production code. This hands-on book shows you how to create tests with ScalaTest and the Specs2—two of the best testing frameworks available—and how to run your tests in the Simple Build Tool (SBT) designed specifically for Scala projects. By building a sample digital jukebox application, you’ll discover how to isolate your tests from large subsystems and networks with mocking code, and how to use the ScalaCheck library for automated specification-based testing. If you’re familiar with Scala, Ruby, or Python, this book is for you. Get an overview of Test-Driven Development Start a simple project with SBT and create tests before you write code Dive into SBT’s basic commands, interactive mode, packaging, and history Use ScalaTest both in the command line and with SBT, and learn how to incorporate JUnit and TestNG Work with the Specs2 framework, including Specification styles, matchers DSLs, and Data Tables Understand mocking by using Java frameworks EasyMock and Mockito, and the Scala-only framework ScalaMock Automate testing by using ScalaCheck to generate fake data
Scala And Spark For Big Data Analytics
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Author : Md. Rezaul Karim
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-25
Scala And Spark For Big Data Analytics written by Md. Rezaul Karim and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-25 with Computers categories.
Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! About This Book Learn Scala's sophisticated type system that combines Functional Programming and object-oriented concepts Work on a wide array of applications, from simple batch jobs to stream processing and machine learning Explore the most common as well as some complex use-cases to perform large-scale data analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker. What You Will Learn Understand object-oriented & functional programming concepts of Scala In-depth understanding of Scala collection APIs Work with RDD and DataFrame to learn Spark's core abstractions Analysing structured and unstructured data using SparkSQL and GraphX Scalable and fault-tolerant streaming application development using Spark structured streaming Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML Build clustering models to cluster a vast amount of data Understand tuning, debugging, and monitoring Spark applications Deploy Spark applications on real clusters in Standalone, Mesos, and YARN In Detail Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big. Style and approach Filled with practical examples and use cases, this book will hot only help you get up and running with Spark, but will also take you farther down the road to becoming a data scientist.
Scientific Computing With Scala
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Author : Vytautas Jancauskas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-04-27
Scientific Computing With Scala written by Vytautas Jancauskas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-27 with Computers categories.
Learn to solve scientific computing problems using Scala and its numerical computing, data processing, concurrency, and plotting libraries About This Book Parallelize your numerical computing code using convenient and safe techniques. Accomplish common high-performance, scientific computing goals in Scala. Learn about data visualization and how to create high-quality scientific plots in Scala Who This Book Is For Scientists and engineers who would like to use Scala for their scientific and numerical computing needs. A basic familiarity with undergraduate level mathematics and statistics is expected but not strictly required. A basic knowledge of Scala is required as well as the ability to write simple Scala programs. However, complicated programming concepts are not used in the book. Anyone who wants to explore using Scala for writing scientific or engineering software will benefit from the book. What You Will Learn Write and read a variety of popular file formats used to store scientific data Use Breeze for linear algebra, optimization, and digital signal processing Gain insight into Saddle for data analysis Use ScalaLab for interactive computing Quickly and conveniently write safe parallel applications using Scala's parallel collections Implement and deploy concurrent programs using the Akka framework Use the Wisp plotting library to produce scientific plots Visualize multivariate data using various visualization techniques In Detail Scala is a statically typed, Java Virtual Machine (JVM)-based language with strong support for functional programming. There exist libraries for Scala that cover a range of common scientific computing tasks – from linear algebra and numerical algorithms to convenient and safe parallelization to powerful plotting facilities. Learning to use these to perform common scientific tasks will allow you to write programs that are both fast and easy to write and maintain. We will start by discussing the advantages of using Scala over other scientific computing platforms. You will discover Scala packages that provide the functionality you have come to expect when writing scientific software. We will explore using Scala's Breeze library for linear algebra, optimization, and signal processing. We will then proceed to the Saddle library for data analysis. If you have experience in R or with Python's popular pandas library you will learn how to translate those skills to Saddle. If you are new to data analysis, you will learn basic concepts of Saddle as well. Well will explore the numerical computing environment called ScalaLab. It comes bundled with a lot of scientific software readily available. We will use it for interactive computing, data analysis, and visualization. In the following chapters, we will explore using Scala's powerful parallel collections for safe and convenient parallel programming. Topics such as the Akka concurrency framework will be covered. Finally, you will learn about multivariate data visualization and how to produce professional-looking plots in Scala easily. After reading the book, you should have more than enough information on how to start using Scala as your scientific computing platform Style and approach Examples are provided on how to use Scala to do basic numerical and scientific computing tasks. All the concepts are illustrated with more involved examples in each chapter. The goal of the book is to allow you to translate existing experience in scientific computing to Scala.
Scala In Action
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Author : Nilanjan Raychaudhuri
language : en
Publisher: Simon and Schuster
Release Date : 2013-04-08
Scala In Action written by Nilanjan Raychaudhuri and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-08 with Computers categories.
Summary Scala in Action is a comprehensive tutorial that introduces Scala through clear explanations and numerous hands-on examples. Because Scala is a rich and deep language, it can be daunting to absorb all the new concepts at once. This book takes a "how-to" approach, explaining language concepts as you explore familiar programming challenges that you face in your day-to-day work. About the Technology Scala runs on the JVM and combines object-orientation with functional programming. It's designed to produce succinct, type-safe code, which is crucial for enterprise applications. Scala implements Actor-based concurrency through the amazing Akka framework, so you can avoid Java's messy threading while interacting seamlessly with Java. About this Book Scala in Action is a comprehensive tutorial that introduces the language through clear explanations and numerous hands-on examples. It takes a "how to" approach, explaining language concepts as you explore familiar programming tasks. You'll tackle concurrent programming in Akka, learn to work with Scala and Spring, and learn how to build DSLs and other productivity tools. You'll learn both the language and how to use it. Experience with Java is helpful but not required. Ruby and Python programmers will also find this book accessible. What's Inside A Scala tutorial How to use Java and Scala open source libraries How to use SBT Test-driven development Debugging Updated for Scala 2.10 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Author Nilanjan Raychaudhuri is a skilled developer, speaker, and an avid polyglot programmer who works with Scala on production systems. Table of Contents PART 1 SCALA: THE BASICS Why Scala? Getting started OOP in Scala Having fun with functional data structures Functional programming PART 2 WORKING WITH SCALA Building web applications in functional style Connecting to a database Building scalable and extensible components Concurrency programming in Scala Building confidence with testing PART 3 ADVANCED STEPS Interoperability between Scala and Java Scalable and distributed applications using Akka
Apache Spark 2 Data Processing And Real Time Analytics
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Author : Romeo Kienzler
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-21
Apache Spark 2 Data Processing And Real Time Analytics written by Romeo Kienzler and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-21 with Computers categories.
Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key FeaturesMaster the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and ScalaBook Description Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own data flow and machine learning programs on this platform. You will work with the different modules in Apache Spark, such as interactive querying with Spark SQL, using DataFrames and datasets, implementing streaming analytics with Spark Streaming, and applying machine learning and deep learning techniques on Spark using MLlib and various external tools. By the end of this elaborately designed Learning Path, you will have all the knowledge you need to master Apache Spark, and build your own big data processing and analytics pipeline quickly and without any hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo KienzlerScala and Spark for Big Data Analytics by Md. Rezaul Karim, Sridhar AllaApache Spark 2.x Machine Learning Cookbook by Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen MeiCookbookWhat you will learnGet to grips with all the features of Apache Spark 2.xPerform highly optimized real-time big data processing Use ML and DL techniques with Spark MLlib and third-party toolsAnalyze structured and unstructured data using SparkSQL and GraphXUnderstand tuning, debugging, and monitoring of big data applications Build scalable and fault-tolerant streaming applications Develop scalable recommendation enginesWho this book is for If you are an intermediate-level Spark developer looking to master the advanced capabilities and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the features of Apache Spark and build a strong big data pipeline will also find this Learning Path useful. To grasp the concepts explained in this Learning Path, you must know the fundamentals of Apache Spark and Scala.
Scalacheck
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Author : Rickard Nilsson
language : en
Publisher:
Release Date : 2014
Scalacheck written by Rickard Nilsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with JavaScript (Computer program language) categories.
"ScalaCheck is a library that facilitates automated specification-based testing of Scala or Java software applications, originally inspired by the QuickCheck library of Haskell. ScalaCheck: The Definitive Guide explains the big ideas behind ScalaCheck, and shows how to use it effectively to write tests at the higher level of property specifications."--
Scala Test Driven Development
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Author : Gaurav Sood
language : en
Publisher:
Release Date : 2016-10-31
Scala Test Driven Development written by Gaurav Sood and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-31 with categories.
Build robust Scala applications by implementing the fundamentals of test-driven development About This Book Get a deep understanding of various testing concepts such as test-driven development (TDD) and BDD Efficient usage of the built-in Scala features such as ScalaTest, specs2, and Scala check Change your approach towards problem solving by thinking about the boundaries of the problem and its definition rather than focusing on the solution Who This Book Is For This book is for Scala developers who are looking to write better quality and easily maintainable code. No previous knowledge of TDD/BDD is required. What You Will Learn Understand the basics of TDD and its significance Refactor tests for building APIs in order to increase test coverage See how to leverage the built-in Scala testing modules such as ScalaTest, specs2, and Scala Check Write test fixtures and apply the concepts of BDD Find out how to divide tests to run at different points in a continuous delivery cycle In Detail Test-driven development (TDD) produces high-quality applications in less time than is possible with traditional methods. Due to the systematic nature of TDD, the application is tested in individual units as well as cumulatively, right from the design stage, to ensure optimum performance and reduced debugging costs. This step-by-step guide shows you how to use the principles of TDD and built-in Scala testing modules to write clean and fully tested Scala code. After an introduction to TDD, you will learn the basics of ScalaTest by building your first fully test-driven application. Moving on, you will learn about the ScalaTest API and how to refactor code to produce high-quality applications. We'll teach you the concepts of BDD and you'll see how to add functional tests to the existing suite of tests. You'll be introduced to the concepts of Mocks and Stubs and will learn to increase test coverage using properties. With a concluding chapter on miscellaneous tools, this book will enable you to write better quality code that is easily maintainable.
Composite Materials Testing And Design Third Conference
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Author : American Society for Testing and Materials
language : en
Publisher:
Release Date : 1974
Composite Materials Testing And Design Third Conference written by American Society for Testing and Materials and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Composite materials categories.
Otolaryngology
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Author : Allen M. Seiden
language : en
Publisher: Thieme
Release Date : 2011-01-01
Otolaryngology written by Allen M. Seiden and has been published by Thieme this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-01 with Medical categories.
A comprehensive guide to the field for clinicians and residents! With a renowned team of editors and contributors, this book provides a thorough overview of the important clinical facts otolaryngologists need to remain current in the field. The text is ideal for self-testing and review, and the book's clear and concise format is designed for easy learning and fast retention. The text is broken down by anatomical sections for ease of use, with each section then divided into chapters on anatomy and physiology, relevant clinical tests, congenital and functional disorders, infectious and inflammatory disorders, neoplasms, cysts, and trauma. When necessary, important information not fitting into any specific chapter is included in Special Considerations chapters at the end of each section. Key features: Pearls - important tips highlighted throughout the book, based on the authors' many years of clinical experience Special Considerations - pertinent information set off for additional emphasis Pitfalls - points out potentially misleading information and situations that might lead to incorrect diagnoses Controversial Points - where there is a difference of opinion, both sides of the issue are presented Valuable coverage of important topics, including flap reconstruction, aesthetic surgery, skin lesions, and much more! Otolaryngology: The Essentials is a valuable reference for practitioners as well as an outstanding self-assessment and review guide for residents. With its companion text, Otolaryngology: A Case Study Approach, the books give you a complete source of reliable clinical information.