Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying C++ Reactive Programming
  • Table Of Contents Toc
  • Feedback & Rating feedback
C++ Reactive Programming

C++ Reactive Programming

By : Praseed Pai, Abraham
3 (8)
close
close
C++ Reactive Programming

C++ Reactive Programming

3 (8)
By: Praseed Pai, Abraham

Overview of this book

Reactive programming is an effective way to build highly responsive applications with an easy-to-maintain code base. This book covers the essential functional reactive concepts that will help you build highly concurrent, event-driven, and asynchronous applications in a simpler and less error-prone way. C++ Reactive Programming begins with a discussion on how event processing was undertaken by different programming systems earlier. After a brisk introduction to modern C++ (C++17), you’ll be taken through language-level concurrency and the lock-free programming model to set the stage for our foray into the Functional Programming model. Following this, you’ll be introduced to RxCpp and its programming model. You’ll be able to gain deep insights into the RxCpp library, which facilitates reactive programming. You’ll learn how to deal with reactive programming using Qt/C++ (for the desktop) and C++ microservices for the Web. By the end of the book, you will be well versed with advanced reactive programming concepts in modern C++ (C++17).
Table of Contents (20 chapters)
close
close
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

RxCpp (Stream) operators


One of the primary advantages of Stream-oriented processing is the fact that we can apply functional programming primitives on them. In RxCpp parlance, the processing is done using operators. They are nothing but filters, transformations, aggregations, and reductions on Streams. We have already seen how the map, filter, and take operators work in the previous examples.

The average operator

The average operator computes the arithmetic mean of values from the Observable Streams. The other statistical operators supported include:

  • Min
  • Max
  • Count
  • Sum

The following program just demonstrates the average operators. The schema is the same for other operators in the preceding list:

//----------- Average.cpp 
#include "rxcpp/rx.hpp" 
#include "rxcpp/rx-test.hpp" 
#include <ioStream> 
int main() { 
    auto values = rxcpp::observable<>::range(1, 20).average(); 
    values.subscribe( 
            [](double v){printf("average: %lfn", v);}, 
            [](){printf("OnCompletedn...

Limited Time Offer

$10p/m for 3 months

Get online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech and supported with AI assistants
notes
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon

Create a Note

Modal Close icon
You need to login to use this feature.

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Delete Note

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Edit Note

Modal Close icon
Write a note (max 255 characters)
Cancel
Update Note