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Reactive Programming for .NET Developers

Reactive Programming for .NET Developers

By : Antonio Esposito, Ciceri
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Reactive Programming for .NET Developers

Reactive Programming for .NET Developers

4 (2)
By: Antonio Esposito, Ciceri

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 (10 chapters)
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Designing a custom operator


In the Rx framework, there are multiple extension methods that help us transform a sequence into another one, subscribe to a sequence, or create a new sequence from other objects or from scratch.

In classic .NET development, all these methods are simply functions, because they almost always provide a result. In Reactive Programming, any function that returns an observable sequence is an operator. There are transforming operators, creational operators, diagnostic operators, and so on.

Usually, we use operators from the Observable helper class or by using other helper classes from the official Rx library set available throughout the NuGet package explorer. When we cannot find the right operator, or when we want to improve an operator already available, maybe, by adding new overloads or changing its implementation, we can create a new operator by creating an extension method that supports the generic pattern. With this design, we will be able to reuse our operators...

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