Example using cupy

ahuang11 · October 10, 2023, 6:23pm

Maybe this?

rapidsai-community/notebooks-contrib/blob/main/community_tutorials_and_guides/taxi/NYCTaxi-E2E.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Predicting NYC Taxi Fares with RAPIDS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RAPIDS is a suite of GPU accelerated data science libraries with APIs that should be familiar to users of Pandas, Dask, and Scikitlearn.\n",
    "\n",
    "This notebook focuses on showing how to use cuDF with Dask & XGBoost to scale GPU DataFrame ETL-style operations & model training out to multiple GPUs on mutliple nodes as part of Google Cloud Dataproc.\n",
    "\n",
    "Anaconda has graciously made some of the NYC Taxi dataset available in a public Google Cloud Storage bucket. We'll use our Dataproc Cluster of GPUs to process it and train a model that predicts the fare amount.\n",
    "\n",
    "For EDA we show the examples using [Holoviews](http://holoviews.org/) and [hvplot](https://hvplot.holoviz.org/). Best way to install Holoviews is to from `conda-forge` channel `conda install -c conda-forge holoviews`\n",

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Also maybe relevant?
https://projectpythia.org/kerchunk-cookbook/notebooks/case_studies/Streaming_Visualizations_with_Hvplot_Datashader.html