Kotlin Notebooks: Data Visualization for Developers (No Scientist Required)
summary
Kotlin Notebooks show concrete workflows: use an IntelliJ plugin and a Kotlin kernel to load CSVs and JSON from APIs into a data frame, call GitHub’s API and report counts (30 open issues, 17 bug-labeled), and render bars, pies and a Europe map with plotted attendee coordinates via the Candy visualization libs. Notebooks embed outputs in a single text file for GitHub sharing; avoid heavy batch jobs (one run took 12 hours vs Python’s 2 minutes).
AI-written summary · about
chapters (11)
- 0:00Intro
- 1:45Kotlin Notebooks
- 2:40What is a Notebook
- 3:30Coding
- 5:13DataFrame
- 8:15What is DataFrame
- 13:00GitHub API
- 17:44Examples
- 19:05Sharing
- 23:03Android Maker
- 27:24Geopoints
related talks
33mBeyond Python: Supercharge your notebooks with Kotlin
59mKotlin Notebooks for Spring Developers
01h 02mKotlin Notebooks for Teaching and Prototyping
51mDataFrame: Kotlin's Innovative Approach to Data Structures
45mUsing Kotlin for Data Science
41mKotlin for Data Science
31mData Science Yes, But in Kotlin!
50mBuilding Data Science Workflows with Kotlin
