Seven Languages in Seven Weeks
You should learn a programming language every year, as recommended by The Pragmatic Programmer. But if one per year is good, how about Seven Languages in Seven Weeks? In this book you'll get a hands-on tour of Clojure, Haskell, Io, Prolog, Scala, Erlang, and Ruby. Whether or not your favorite language is on that list, you'll broaden your perspective of programming by examining these languages side-by-side. You'll learn something new from each, and best of all, you'll learn how to learn a language quickly. ...
You should learn a programming language every year, as recommended by The Pragmatic Programmer. But if one per year is good, how about Seven Languages in Seven Weeks? In this book you'll get a hands-on tour of Clojure, Haskell, Io, Prolog, Scala, Erlang, and Ruby. Whether or not your favorite language is on that list, you'll broaden your perspective of programming by examining these languages side-by-side. You'll learn something new from each, and best of all, you'll learn how to learn a language quickly. ...
Using JRuby
Now you can bring the best of Ruby into the world of Java, with Using JRuby. Come to the source for the JRuby core team's insights and insider tips. You'll learn how to call Java objects seamlessly from Ruby, and deal with Java idioms such as interfaces and overloaded functions. Run Ruby code from Java, and make a Java program scriptable in Ruby. See how to compile Ruby into .class files that are callable from Java, Scala, Clojure, or any other JVM language. ...
Now you can bring the best of Ruby into the world of Java, with Using JRuby. Come to the source for the JRuby core team's insights and insider tips. You'll learn how to call Java objects seamlessly from Ruby, and deal with Java idioms such as interfaces and overloaded functions. Run Ruby code from Java, and make a Java program scriptable in Ruby. See how to compile Ruby into .class files that are callable from Java, Scala, Clojure, or any other JVM language. ...
Becoming Functional
If you have an imperative (and probably object-oriented) programming background, this hands-on book will guide you through the alien world of functional programming. Author Joshua Backfield begins slowly by showing you how to apply the most useful implementation concepts before taking you further into functional-style concepts and practices. In each chapter, you'll learn a functional concept and then use it to refactor the fictional XXY company's imperative-style legacy code, writing and testing the functional code yourself. As you progress through the book, you'll migrate from Java 7 to Groovy and finally to Scala as the need for better functional language support gradually increases. ...
If you have an imperative (and probably object-oriented) programming background, this hands-on book will guide you through the alien world of functional programming. Author Joshua Backfield begins slowly by showing you how to apply the most useful implementation concepts before taking you further into functional-style concepts and practices. In each chapter, you'll learn a functional concept and then use it to refactor the fictional XXY company's imperative-style legacy code, writing and testing the functional code yourself. As you progress through the book, you'll migrate from Java 7 to Groovy and finally to Scala as the need for better functional language support gradually increases. ...
Gradle Effective Implementation Guide
Create Gradle build scripts from clear examples. Write build logic with the Gradle build language. Compile, test and check your Java, Scala and Groovy applications. Write your own custom tasks and plugins. Use Gradle on continous integrations servers Jenkins, TeamCity and Bamboo. Integrate Gradle with Eclipse and IntelliJ IDEA. ...
Create Gradle build scripts from clear examples. Write build logic with the Gradle build language. Compile, test and check your Java, Scala and Groovy applications. Write your own custom tasks and plugins. Use Gradle on continous integrations servers Jenkins, TeamCity and Bamboo. Integrate Gradle with Eclipse and IntelliJ IDEA. ...
Learning Play! Framework 2
The Learning Play! Framework 2 has been created for web developers that are building web applications. The core idea is to focus on the HTTP features and to enable them through a simplification lens. Building a web application no longer requires a configuration phase, an environment setup, or a long development lifecycle - it's integrated! Learning Play! Framework 2 will enable any web developers to create amazing web applications taking advantage of the coolest features. It's the fastest way to dive into Play!, focusing on the capabilities by using them in a sample application. Although essentially Java based code, a Scala version is presented as well - giving an opportunity to see some Scala in action. ...
The Learning Play! Framework 2 has been created for web developers that are building web applications. The core idea is to focus on the HTTP features and to enable them through a simplification lens. Building a web application no longer requires a configuration phase, an environment setup, or a long development lifecycle - it's integrated! Learning Play! Framework 2 will enable any web developers to create amazing web applications taking advantage of the coolest features. It's the fastest way to dive into Play!, focusing on the capabilities by using them in a sample application. Although essentially Java based code, a Scala version is presented as well - giving an opportunity to see some Scala in action. ...
Programming Concurrency on the JVM
Stop dreading concurrency hassles and start reaping the pure power of modern multicore hardware. Learn how to avoid shared mutable state and how to write safe, elegant, explicit synchronization-free programs in Java or other JVM languages including Clojure, JRuby, Groovy, or Scala. Programming Concurrency on the JVM is the first book to show you three prominent concurrency styles: the synchronization model of the JDK, Software Transactional Memory (STM), and actor-based concurrency. You'll learn the benefits of each of these models, when and how to use them, and what their limitations are so you can compare and choose what works best for your applications. ...
Stop dreading concurrency hassles and start reaping the pure power of modern multicore hardware. Learn how to avoid shared mutable state and how to write safe, elegant, explicit synchronization-free programs in Java or other JVM languages including Clojure, JRuby, Groovy, or Scala. Programming Concurrency on the JVM is the first book to show you three prominent concurrency styles: the synchronization model of the JDK, Software Transactional Memory (STM), and actor-based concurrency. You'll learn the benefits of each of these models, when and how to use them, and what their limitations are so you can compare and choose what works best for your applications. ...
Advanced Analytics with Spark
In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques - classification, collaborative filtering, and anomaly detection among others - to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find these patterns useful for working on your own data applications. ...
In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques - classification, collaborative filtering, and anomaly detection among others - to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find these patterns useful for working on your own data applications. ...
Neo4j Cookbook
Neo4j is an open source graph database written in Java. Graph databases provide an excellent way to get richer insight into data and lower the bar for entry into the data science world. Starting with a practical and vital introduction to Neo4j and various aspects of Neo4j installation, you will learn how to connect and access Neo4j servers from programming languages such as Java, Python, Ruby, and Scala. You will also learn about Neo4j administration and maintenance before expanding and advancing your knowledge by dealing with large Neo4j installations and optimizing them for both storage and querying. This is a practical guide full of examples and Neo4j recipes. The recipes are well explained with code samples that are updated for the latest version of Neo4j. ...
Neo4j is an open source graph database written in Java. Graph databases provide an excellent way to get richer insight into data and lower the bar for entry into the data science world. Starting with a practical and vital introduction to Neo4j and various aspects of Neo4j installation, you will learn how to connect and access Neo4j servers from programming languages such as Java, Python, Ruby, and Scala. You will also learn about Neo4j administration and maintenance before expanding and advancing your knowledge by dealing with large Neo4j installations and optimizing them for both storage and querying. This is a practical guide full of examples and Neo4j recipes. The recipes are well explained with code samples that are updated for the latest version of Neo4j. ...
Big Data Analytics with Spark
This book is a step-by-step guide for learning 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. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, MLlib, and Spark ML. Big Data Analytics with Spark shows you how to use Spark and leverage its easy-to-use features to increase your productivity. You learn to perform fast data analysis using its in-memory caching and advanced execution engine, employ in-memory computing capabilities for building high-performance machine learning and low-latency interactive analytics applications, and much more. Moreover, the book shows you how to use Spark as a single integrated platform for a variety of data processing tasks, including ETL pipelines, BI, live data stream processing, graph analytics, and machine learning. The book also includes a chapter on Scala, the hottest functional programming l ...
This book is a step-by-step guide for learning 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. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, MLlib, and Spark ML. Big Data Analytics with Spark shows you how to use Spark and leverage its easy-to-use features to increase your productivity. You learn to perform fast data analysis using its in-memory caching and advanced execution engine, employ in-memory computing capabilities for building high-performance machine learning and low-latency interactive analytics applications, and much more. Moreover, the book shows you how to use Spark as a single integrated platform for a variety of data processing tasks, including ETL pipelines, BI, live data stream processing, graph analytics, and machine learning. The book also includes a chapter on Scala, the hottest functional programming l ...
Mastering Apache Spark
Apache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations. This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The book commences with an overview of the Spark eco-system. You will learn how to use MLlib to create a fully working neural net for handwriting recognition. You will then discover how stream processing can be tuned for optimal performance and to ensure parallel processing. The book extends to show how to incorporate H20 for machine learning, Titan for graph based storage, Databricks for cloud-based Spark. Intermediate Scala based code examples are provided for Apache Spark module processing in a CentOS Linux and Databricks cloud environment. ...
Apache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations. This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The book commences with an overview of the Spark eco-system. You will learn how to use MLlib to create a fully working neural net for handwriting recognition. You will then discover how stream processing can be tuned for optimal performance and to ensure parallel processing. The book extends to show how to incorporate H20 for machine learning, Titan for graph based storage, Databricks for cloud-based Spark. Intermediate Scala based code examples are provided for Apache Spark module processing in a CentOS Linux and Databricks cloud environment. ...