Have you ever wanted to play around with a dataset, but the thought of setting up a Python development environment seemed like too much of a hassle?

Meet Kotlin Notebook – a plugin for IntelliJ IDEA.

In my work, I sit firmly in the Kotlin/JVM ecosystem. And I like it here. But recently, I found myself with a dataset and some questions. I wanted to inspect the data and get some answers as quickly as possible. Kotlin Notebook turned out to be the perfect tool for that.

In this talk, I will share with you how easy it is to get from data science noob to data wrangling badass, using the tools you are already familiar with.

We will cover:

- Data science basics
- Connecting your Kotlin Notebook to an existing Postgres database
- Accessing and manipulating the data with Kotlin DataFrame
- Plotting your findings with the Kandy Library

You will leave this talk with the knowledge and confidence to inspect a dataset, form a research question, collect the data, and plot the result, without ever leaving the comfort of your IDE.