{ "cells": [ { "cell_type": "markdown", "id": "b53a7b12-538d-4459-b82a-a35c8c417849", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "id": "ae497b71-bc43-471e-8970-88a1878e7cf9", "metadata": {}, "source": [ "# Fundamentals of Accelerated Data Science # " ] }, { "cell_type": "markdown", "id": "3a61cc06-80da-4f73-ba61-8ff1b5af71d8", "metadata": {}, "source": [ "## 01 - Section Overview ##\n", "\n", "**Table of Contents**\n", "This section focuses on data processing. We'll work with multiple datasets, conduct high-level analyses, and prepare the data for subsequent machine learning tasks. \n", "
\n", "* **1-01_section_overview.ipynb**\n", "* **1-02_data_manipulation.ipynb**\n", "* **1-03_memory_management.ipynb**\n", "* **1-04_interoperability.ipynb**\n", "* **1-05_grouping.ipynb**\n", "* **1-06_data_visualization.ipynb**\n", "* **1-07_etl.ipynb**\n", "* **1-08_dask-cudf.ipynb**\n", "* **1-09_cudf-polars.ipynb**" ] }, { "cell_type": "markdown", "id": "9b1485a5-00e8-4495-85b0-b48671674818", "metadata": {}, "source": [ "**Well Done!** Let's move to the [next notebook](1-02_data_manipulation.ipynb). " ] }, { "cell_type": "markdown", "id": "81e47f0a-547e-4714-878d-34eb9b75c835", "metadata": {}, "source": [ "" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.15" } }, "nbformat": 4, "nbformat_minor": 5 }