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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 session, I will guide you through two recent additions to Ox that I helped implement: channel operators and retries.
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.
