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Listen to a story of how we have dealt with 201 obstacles allowing us to run multithreaded programs natively!
One of the core Scala domains is scalable, concurrent, or parallel data processing, which typically at some point is powered by JVM Threads. However, the Scala Native - an ahead-of-time compiler and runtime for Scala, was for a long time limited to only a single thread of execution. At first glance, it might have sounded like it a not a big deal. Starting system threads is easy...but then, suddenly, you need to deal with memory models, garbage collections, synchronization, data atomicity, and many more blockers, just to provide the same semantics as JVM ensures.
Listen to a story of how we have dealt with 201 obstacles allowing us to run multithreaded programs natively!
In this talk, I will show how you can use ScalaPy to leverage an excellent NLP library like Spacy, minimizing your discomfort of using Python, and enhancing your comfort with Scala 3 for the remaining parts of your application.
We managed to alleviate almost entirely the slowdown induced by Tapir in a web socket server. The journey towards this goal was quite insightful, and we would like to share it with you.
In this talk, we will demonstrate some elegant applications of functional programming in Scala, with even more elegant visual results - all with live code and real-time output.
In this talk, I will cover three key concepts that emerged from reflecting on this past year of learning: making mistakes, helping others to help you and finding community.
In this talk, we will take a tour around the `error` function. Starting from the simple use-cases and ending up with sophisticated yet developer-friendly error messages.
