holgerbrandl07/17/2021, 8:28 PM
in https://github.com/holgerbrandl/krangl/blob/master/CHANGES.md#v017 and https://github.com/holgerbrandl/kravis/blob/master/CHANGES.md#v08. I took the opportunity to improve krangl-interop with
and have rebuilt one of my favourite R/ggplot teaching examples in kotlin&jupyter. Enjoy https://nbviewer.jupyter.org/github/holgerbrandl/krangl/blob/master/examples/jupyter/sleep_patterns.ipynb. Feel welcome with feedback and criticism. @Ilya Muradyan What is the intended process for the jsons such as https://github.com/Kotlin/kotlin-jupyter/blob/master/libraries/krangl.json? Are they legacy and will be kept, or will they be removed as soon as a library adopts the new integration model?
Ilya Muradyan07/18/2021, 12:29 AM
holgerbrandl07/18/2021, 7:50 AM
Igor Alshannikov07/20/2021, 12:54 AM
holgerbrandl07/21/2021, 2:30 PM
Ilya Muradyan07/21/2021, 2:35 PM
will always use this version of descriptor: https://github.com/Kotlin/kotlin-jupyter-libraries/blob/241c80d57fd4ea1d9b2b10f5c1b2db81640427ff/krangl.json
holgerbrandl07/21/2021, 2:40 PM
Hampus Londögård08/03/2021, 9:25 AM
)? Is there some type of roadmap difference where one aims at one thing and the other at another?
holgerbrandl08/03/2021, 1:30 PM
Anatoly Nikitin08/05/2021, 8:09 AM
fork, but then dipped into experiments with typed API, null safety and data hierarchies. Currently DataFrame is targeting two main design goals: 1. Create new typed, intuitive, toolable and powerful API for data manipulations 2. Support hierarchical data structures (e.g. JSON input) It is still in experimental state, but I’m going to present it soon and involve more people in design, discussions and development.
Hampus Londögård08/05/2021, 8:10 AM
Anatoly Nikitin08/05/2021, 8:11 AM