Brief Introduction
Principles of Reactive Programming in Scala.
Description
Reactive programming is a set of techniques for implementing scalable, resilient and responsive systems as per the Reactive Manifesto. Such systems are based on asynchronous message-passing, and their basic building-blocks are event handlers. This course teaches how to implement reactive systems in Scala and Akka by using high-level abstractions, such as actors, asynchronous computations, and reactive streams.
Knowledge
- use, transform and sequence asynchronous computations using Future values,
- write concurrent reactive systems based on Actors and message passing, using untyped Akka and Akka Typed,
- design systems resilient to failures,
- implement systems that can scale out according to a varying workload,
- transform and consume infinite and intermittent streams of data with Akka Stream in a non-blocking way,
- understand how back-pressure controls flows of data
Akka Streams with Scala | Rock the JVM
- 4.8
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A must-have for Scala & Akka developers: write large-scale, reactive distributed systems with Akka Streams You'll write 2000+ lines of Akka code yourself, with guidance, and you will become a rockstar....
Learning Path: Haskell: Functional Programming and Haskell
- 4.1
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Gain expertise of programming in Haskell — an advanced, purely functional programming language. What makes functional programming great? About the Author...
Python Concurrency Simplified
- 3.5
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Practically understand concurrency in Python to write efficient programs Contents and Overview This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible....
High-Performance Computing with Python 3.x
- 4.2
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Build high-performance, distributed, and concurrent applications in Python Python is a versatile programming language. Many industries are now using Python for high-performance computing projects....
