Learn how to use RxJava and its reactive Observables to build fast, concurrent, and powerful applications through detailed examples If you are a Java developer that knows how to write software and would like to learn how to apply your existing skills to reactive programming, this book is for you. Whether you are a Java expert or at a beginner level, you'll benefit from this book, because it will teach you a brand new way of coding and thinking. The book starts with an explanation of what reactive programming is, why it is so appealing, and how we can integrate it in to Java. It continues by introducing the new Java 8 syntax features, such as lambdas and function references, and some functional programming basics. From this point on, the book focuses on RxJava in depth. It goes through creating Observables, transforming, filtering, and combining them, and concurrency and testing to finish with extending the library itself. This book is a definite tutorial in RxJava filled with a lot of well-described examples. It explains reactive programming concepts in plain and readable language, without scientific formulas and terms.

zlib/no-category/Nickolay Tsvetinov/Learning Reactive Programming with Java 8_18839965.mobi

Learning Reactive Programming with Java 8 : Learn how to use RxJava and its reactive Observables to built fast, concurrent, and powerful applications through detailed examples

Tsvetinov, Nickolay

Nickolay Tzvetinov

Packt Publishing, Limited

Open source: community experience distilled, Birmingham, 2015

Community experience distilled, Birmingham, England, 2015

United Kingdom and Ireland, United Kingdom

Packt Publishing, Birmingham, UK, 2015

lg1384603

<p>About This Book<br></p><ul> <li>Acquire predictive analytic skills using various tools of R </li> <li>Make predictions about future events by discovering valuable information from data using R </li> <li>Comprehensible guidelines that focus on predictive model design with real-world data </li></ul><p>Who This Book Is For<br></p><p>If you are a statistician, chief information officer, business analyst, data scientist, ML engineer, ML practitioner, quantitative analyst, or student of machine learning, this is the book for you.<br></p><p>What You Will Learn<br></p><ul> <li>Customize R by installing and loading new packages </li> <li>Explore the structure of data using clustering algorithms </li> <li>Turn unstructured text into ordered data and acquire knowledge from the data </li> <li>Classify your observations using Naive Bayes, k-NN, and decision trees </li> <li>Reduce the dimensionality of your data by using principal component analysis </li> <li>Discover association rules by using Apriori </li> <li>Learn how cross-validation helps you ensure classification quality </li> <li>Understand how statistical distributions can help retrieve information from data using correlations, linear regression, and multilevel regression </li> <li>Use PMML to deploy the models generated in R </li></ul><p>In Detail<br></p><p>R is statistical software that is used for data analysis. It helps to extract information with its many standard and cutting-edge statistical functions.<br></p><p>You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way.<br></p><p>Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further.<br></p><p>This book familiarizes you with the most common data mining tools in R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naive Bayes, decision trees, and text mining. It also provides a description of visualization techniques using the basic visualization tools in R as well as lattice for visualizing patterns into data organized in groups.<br></p>

Key FeaturesBook DescriptionWhat you will learnDiscover what reactive programming is and how you can benefit from itGet to grips with the new functional features of Java 8 and some functional theoryCreate RxJava Observable instances from virtually any data sourceTransform, filter, and accumulate your data using various RxJava operatorsCombine multiple data sources in one dataset, using custom logicWrite concurrent programs with ease, scheduling actions on various workersLearn about unit testing asynchronous RxJava logicExtend RxJava by writing your own operators and factory methodsWho this book is forIf you are a Java developer that knows how to write software and would like to learn how to apply your existing skills to reactive programming, this book is for you.

2022-01-22