79 lines
1.9 KiB
Plaintext
79 lines
1.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "b53a7b12-538d-4459-b82a-a35c8c417849",
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"metadata": {},
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"source": [
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"<img src=\"./images/DLI_Header.png\" width=400/>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ae497b71-bc43-471e-8970-88a1878e7cf9",
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"metadata": {},
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"source": [
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"# Fundamentals of Accelerated Data Science # "
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]
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},
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{
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"cell_type": "markdown",
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"id": "3a61cc06-80da-4f73-ba61-8ff1b5af71d8",
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"metadata": {},
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"source": [
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"## 01 - Section Overview ##\n",
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"\n",
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"**Table of Contents**\n",
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"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",
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"<br>\n",
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"* **1-01_section_overview.ipynb**\n",
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"* **1-02_data_manipulation.ipynb**\n",
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"* **1-03_memory_management.ipynb**\n",
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"* **1-04_interoperability.ipynb**\n",
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"* **1-05_grouping.ipynb**\n",
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"* **1-06_data_visualization.ipynb**\n",
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"* **1-07_etl.ipynb**\n",
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"* **1-08_dask-cudf.ipynb**\n",
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"* **1-09_cudf-polars.ipynb**"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9b1485a5-00e8-4495-85b0-b48671674818",
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"metadata": {},
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"source": [
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"**Well Done!** Let's move to the [next notebook](1-02_data_manipulation.ipynb). "
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]
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},
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{
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"cell_type": "markdown",
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"id": "81e47f0a-547e-4714-878d-34eb9b75c835",
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"metadata": {},
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"source": [
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"<img src=\"./images/DLI_Header.png\" width=400/>"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.15"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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