- Why is asynchronous programming more efficient than multiple processes/threads to handle I/O concurrency?
- Why is asynchronous programming not a solution to improve the performance of CPU-bound tasks?
- What is the reason why multithreading is not performing as well in Python as in other programming languages?
- What is the benefit of a generator compared to an iterator?
- Why does a generator help in writing asynchronous code?
- What is the difference between calling the next function and calling the send method of a generator object?
- How is a coroutine declared?
- How can a coroutine call another coroutine?
- What is the role of the event loop?
Hands-On Reactive Programming with Python
By :
Hands-On Reactive Programming with Python
By:
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
Free Chapter
An Introduction to Reactive Programming
Asynchronous Programming in Python
Functional Programming with ReactiveX
Exploring Observables and Observers
Concurrency and Parallelism in RxPY
Implementation of an Audio Transcoding Server
Using Third-Party Services
Dynamic Reconfiguration and Error Management
Operators in RxPY
Testing and Debugging
Deploying and Scaling Your Application
Reactive Streams for Remote Communication
A Checklist of Best Practices
Assessments
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