This last section will cover some operators that are specifically designed to deal with asynchronous operations. Some of them allow us to convert synchronous code to asynchronous code and others allow us to convert futures to streams, and vice versa.
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Hands-On Reactive Programming with Python
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Hands-On Reactive Programming with Python
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Overview of this book
Reactive programming is central to many concurrent systems, but it’s famous for its steep learning curve, which makes most developers feel like they're hitting a wall. With this book, you will get to grips with reactive programming by steadily exploring various concepts
This hands-on guide gets you started with Reactive Programming (RP) in Python. You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications. As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming (FaRP), observables and observers, and concurrency and parallelism. The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code. You will understand how to use third-party services and dynamically reconfigure an application.
By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices.
Table of Contents (16 chapters)
Preface
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An Introduction to Reactive Programming
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Asynchronous Programming in Python
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Functional Programming with ReactiveX
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Exploring Observables and Observers
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Concurrency and Parallelism in RxPY
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Implementation of an Audio Transcoding Server
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Using Third-Party Services
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Dynamic Reconfiguration and Error Management
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Operators in RxPY
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Testing and Debugging
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Deploying and Scaling Your Application
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Reactive Streams for Remote Communication
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A Checklist of Best Practices
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Assessments
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