Data Science with Kotlin: Leveraging Deep Analysis with DataFrame
summary
Concrete claim: Kotlin DataFrame plus the CSV Gradle library loads and manipulates 1 million rows (reportedly 54 columns) inside an IntelliJ/Jupyter kernel, uses Kotlin data classes interoperability, and runs groupBy/dropNA/aggregation and plotting with lets-plot. Demo shows reading the CSV, dropping nulls from payment_method, counting distinct owners, and drawing a chart; presenter contrasts Kotlin numeric routines as faster than equivalent Python snippets. Some live-build glitches occur but the cleaning, aggregation and plots execute.
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chapters (7)
- 0:00Data science with Kotlin
- 3:35Kotlin for math operations
- 10:21Kotlin beyond Android
- 17:08Kotlin in Jupyter
- 24:26Kotlin DataFrame intro
- 36:25Data cleaning with Kotlin DataFrame
- 45:45Q&A
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