Book Image

Reactive Programming for .NET Developers

Book Image

Reactive Programming for .NET Developers

Overview of this book

Reactive programming is an innovative programming paradigm focused on time-based problem solving. It makes your programs better-performing, easier to scale, and more reliable. Want to create fast-running applications to handle complex logics and huge datasets for financial and big-data challenges? Then you have picked up the right book! Starting with the principles of reactive programming and unveiling the power of the pull-programming world, this book is your one-stop solution to get a deep practical understanding of reactive programming techniques. You will gradually learn all about reactive extensions, programming, testing, and debugging observable sequence, and integrating events from CLR data-at-rest or events. Finally, you will dive into advanced techniques such as manipulating time in data-flow, customizing operators and providers, and exploring functional reactive programming. By the end of the book, you'll know how to apply reactive programming to solve complex problems and build efficient programs with reactive user interfaces.
Table of Contents (15 chapters)
Reactive Programming for .NET Developers
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface

Creating Interactive Extensions (Ix) operators


Ix is the LINQ-based operator library that contains operators similar to the ones available within Rx. The design goal of developing a library like Ix is reusing designs and solutions from reactive programming to state-driven programming.

Tip

The following examples require referencing the NuGet package Ix-Main.

This library is powerful to help developers get access operators reactive, like into classic state-drive Programming with LINQ (PLINQ), without having to convert in sequences and back all enumerables. The usage is almost identical to the one with real Rx operators; the difference is that within Ix, there is the support of only a short list of operators. Let's see some operators in action:

var buffer = Enumerable.Range(0, 1000) 
    //split enumerable into multiple buffers 
    .Buffer(100); 
 
//enumerate from the first enumerable 
//in case of exception continue enumerating 
//from the second enumerable 
...