https://github.com/thomasnield/pydata_kotlin_datascience_talk

https://github.com/thomasnield/pydata_kotlin_datascience_talk

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/thomasnield/pydata_kotlin_datascience_talk
• Owner: thomasnield
• Created: 2018-01-30T15:37:49.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-02-01T19:13:47.000Z (over 8 years ago)
• Last Synced: 2025-02-10T03:43:01.820Z (over 1 year ago)
• Size: 3.92 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# KotlinConf Talk - Kotlin for Data Science

![](https://camo.githubusercontent.com/705d7144bcce5b0fcb68ea1bd563837bdf3398da/687474703a2f2f692e696d6775722e636f6d2f763346716945412e706e67)

Slides, notes, and code for the _Kotlin for Data Science_ talk

## YouTube Video

You can watch the session at KotlinConf on YouTube here:

[![KotlinConf- Kotlin for Data Science](https://i.ytimg.com/vi/J8GYPG6pt5w/hqdefault.jpg)](https://www.youtube.com/watch?v=J8GYPG6pt5w)

## Libraries Used in Demo

[Kotlin-Statistics](https://github.com/thomasnield/kotlin-statistics)

[ojAlgo!](https://github.com/optimatika/ojAlgo/wiki/The-Diet-Problem)

[TornadoFX](https://edvin.gitbooks.io/tornadofx-guide/content/)

## Resources

I forgot to show this last slide during the presentation. I recommend checking these resources out, especially [3Blue1Brown on YouTube](https://www.youtube.com/watch?v=kjBOesZCoqc&index=1&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab). 

![](https://i.imgur.com/fkyuyvU.png)

If you are interested in mathematical optimization as shown in the driver example, this book is immensely helpful. 

[![](https://images-na.ssl-images-amazon.com/images/I/41Izv5XLv-L._SX330_BO1,204,203,200_.jpg)](http://a.co/ebpZBMo )

I'm also working on a classroom scheduling example with ojAlgo. Feel free to [follow it here](https://github.com/thomasnield/mathematical-optimization-examples).