Building Data Science Workflows with Kotlin

on YouTube ↗50m

" summary

Kotlin data-science tooling and libraries for table manipulation are presented, focusing on krangl, a Kotlin DSL that reproduces pandas/R-style data-wrangling (filter, transform, aggregate, reshape) with a functional API and mechanisms to switch between typed and untyped data. The talk shows using Kotlin for Kaggle-style workflows and converting Kotlin scripts to HTML/notebooks via Jupyter.

AI-written summary · about

" chapters (9)

1. 0:00Kotlin for data science
2. 4:55Interactive computing setup
3. 10:37Taxi trip data exploration
4. 17:23Data pipeline design
5. 24:22Feature engineering
6. 30:07Data visualization
7. 36:52Model performance evaluation
8. 42:04Jupyter + Kotlin
9. 47:54Conclusion

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