migrate netflix notebook to kandy

Author: devcrocod

examples/README.md

@@ -11,27 +11,27 @@
 * people [Datalore](https://datalore.jetbrains.com/view/notebook/aOTioEClQQrsZZBKeUPAQj)
 Small artificial dataset used in [DataFrame API examples](https://kotlin.github.io/dataframe/operations.html) 
 
-* puzzles ([Jupyter](jupyter-notebooks/puzzles/40%20puzzles.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/CVp3br3CDXjUGaxxqfJjFF)) –
+* puzzles ([notebook](notebooks/puzzles/40%20puzzles.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/CVp3br3CDXjUGaxxqfJjFF)) –
 Inspired [by 100 pandas puzzles](https://github.com/ajcr/100-pandas-puzzles). You will go from the simplest tasks to 
 complex problems where need to think. This notebook will show you how to solve these tasks with the Kotlin 
 Dataframe in a laconic, beautiful style.
 ___
-* movies ([Jupyter](jupyter-notebooks/movies/movies.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/89IMYb1zbHZxHfwAta6eKP)) –
+* movies ([notebook](notebooks/movies/movies.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/89IMYb1zbHZxHfwAta6eKP)) –
 In this notebook you can see the basic operations of the Kotlin Dataframe on data from [movielens](https://movielens.org/).
 You can take the data from the [link](https://grouplens.org/datasets/movielens/latest/).
 ___
-* netflix ([Jupyter](jupyter-notebooks/netflix/netflix.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/wB6Vq1oKU3GniCi1i05l2X)) –
+* netflix ([notebook](notebooks/netflix/netflix.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/xSJ4rx49hcH71pPnFgZBCq)) –
 Explore TV shows and movies from Netflix with the powerful Kotlin Dataframe API and beautiful
 visualizations from [lets-plot](https://github.com/JetBrains/lets-plot-kotlin).
 ___
-* github ([Jupyter](jupyter-notebooks/github/github.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/wGlYql3ObFCloN0YpWR1Xw)) –
+* github ([notebook](notebooks/github/github.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/wGlYql3ObFCloN0YpWR1Xw)) –
 This notebook shows the hierarchical dataframes look like and how to work with them.
 ___
-* titanic ([Jupyter](jupyter-notebooks/titanic/Titanic.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/B5YeMMONSAR78FgKQ9yJyW)) –
+* titanic ([notebook](notebooks/titanic/Titanic.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/B5YeMMONSAR78FgKQ9yJyW)) –
 Let's see how the new library will show itself on the famous Titanic dataset.
 ___
-* wine ([Jupyter](jupyter-notebooks/wine/WineNetWIthKotlinDL.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/aK9vYHH8pCA8H1KbKB5WsI)) –
+* wine ([notebook](notebooks/wine/WineNetWIthKotlinDL.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/aK9vYHH8pCA8H1KbKB5WsI)) –
   Wine. Kotlin Dataframe. KotlinDL. What came out of this can be seen in this notebook.
 ___
-* youtube ([Jupyter](jupyter-notebooks/youtube/Youtube.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/uXH0VfIM6qrrmwPJnLBi0j)) –
+* youtube ([notebook](notebooks/youtube/Youtube.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/uXH0VfIM6qrrmwPJnLBi0j)) –
 Explore YouTube videos with YouTube REST API and Kotlin Dataframe