.. _additional_reading:

Additional Reading

Open Material Copy Chapter

The RxPY source repository contains example notebooks <https://github.com/ReactiveX/RxPY/tree/master/notebooks>_.

The official ReactiveX website contains additional tutorials and documentation:

• Introduction <http://reactivex.io/intro.html>_
• Tutorials <http://reactivex.io/tutorials.html>_
• Operators <http://reactivex.io/documentation/operators.html>_

Several commercial contents have their associated example code available freely:

• Packt Reactive Programming in Python <https://github.com/PacktPublishing/Reactive-Programming-in-Python>_

RxPY 3.0.0 has removed support for backpressure here are the known community projects supporting backpressure:

• rxbackpressure rxpy extension <https://github.com/MichaelSchneeberger/rxbackpressure>_
• rxpy_backpressure observer decorators <https://github.com/daliclass/rxpy-backpressure>_

Commercial Material Copy Chapter

O'Reilly Video

O'Reilly has published the video Reactive Python for Data Science which is
available on both the O\'Reilly Store <https://shop.oreilly.com/product/0636920064237.do>_ as well as O\'Reilly Safari <https://www.safaribooksonline.com/library/view/reactive-python-for/9781491979006>_.
This video teaches RxPY from scratch with applications towards data science, but
should be helpful for anyone seeking to learn RxPY and reactive programming.

Packt Video

Packt has published the video Reactive Programming in Python, available on
Packt store <https://www.packtpub.com/application-development/reactive-programming-python-video>_.
This video teaches how to write reactive GUI and network applications.