LOADING
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.
In many domains of computer science, state-of-the-art frameworks are written in Python. Natural Language Processing (NLP) is such a domain, and if you want to use cutting-edge approaches, you have to resort to Python libraries. 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. I will show everything from configuring your (minimal) environment to interacting with Python, defining facades, and controlling memory usage.
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.
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.
This talk aims to equip the audience with the minimum required bagage to get comfortable working with contravariance.
I would like to go over the most relevant tools and changes that can improve your developer experience.
The talk explores the recursive structure of Diamond Architecture.
Join me for a fun and possibly opinionated talk about the state of Scala and other JVM languages.
