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2 changes: 1 addition & 1 deletion docs/crs-examples.ipynb
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"source": [
"# Joining Spatial Data with Different Coordinate Systems\n",
"\n",
"> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install \"sedona[db]\"`\n",
"> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install \"apache-sedona[db]\"`\n",
"\n",
"This example demonstrates how one table with an EPSG 4326 CRS cannot be joined with another table that uses EPSG 3857.\n",
"\n",
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2 changes: 1 addition & 1 deletion docs/geopandas-interop.ipynb
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"\n",
"# GeoPandas Interoperability\n",
"\n",
"> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install \"sedona[db]\"`\n",
"> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install \"apache-sedona[db]\"`\n",
"\n",
"This notebook shows how to leverage GeoPandas with SedonaDB for large-scale geospatial analysis.\n",
"\n",
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2 changes: 1 addition & 1 deletion docs/geopandas-interop.md
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# GeoPandas Interoperability

> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install "sedona[db]"`
> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install "apache-sedona[db]"`

This notebook shows how to leverage GeoPandas with SedonaDB for large-scale geospatial analysis.

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2 changes: 1 addition & 1 deletion docs/overture-examples.ipynb
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"\n",
"# SedonaDB Overture Examples\n",
"\n",
"> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install \"sedona[db]\"`\n",
"> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install \"apache-sedona[db]\"`\n",
"\n",
"This notebook demonstrates how to query and analyze the [Overture Maps](https://overturemaps.org/) dataset using SedonaDB.\n",
"\n",
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2 changes: 1 addition & 1 deletion docs/programming-guide.ipynb
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"\n",
"# Working with Vector Data\n",
"\n",
"> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install \"sedona[db]\"`\n",
"> Note: Before running this notebook, ensure that you have installed SedonaDB: `pip install \"apache-sedona[db]\"`\n",
"\n",
"Process vector data using sedona.db. You will learn to create DataFrames, run spatial queries, and manage file I/O. Let's begin by connecting to sedona.db.\n",
"\n",
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