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---
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title: DataBricks Notebooks
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engine: jupyter
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keep-md: true
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execute:
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eval: false
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_quarto:
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tests:
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html:
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ensureFileRegexMatches:
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- []
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- [":::"]
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---
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## Introduction
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In this notebook, we try Quarto with DataBricks.
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## Chapter
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In the first chapter, we try multiple commands and observe their results.
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```{python}
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#| application/vnd.databricks.v1+cell: {cellMetadata: {byteLimit: 2048000, rowLimit: 10000}, inputWidgets: {}, nuid: 7039bc23-d898-4506-b24d-8f1002a66d18, showTitle: false, title: ''}
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df = spark.read.table("samples.nyctaxi.trips")
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df.show(5)
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```
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This is text in-between the commands.
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```{python}
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#| application/vnd.databricks.v1+cell: {cellMetadata: {byteLimit: 2048000, rowLimit: 10000}, inputWidgets: {}, nuid: 21c1cb83-83cc-40c8-9a8b-f5378d3f29be, showTitle: false, title: ''}
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from databricks.sdk.runtime import dbutils
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dbutils.fs.ls("dbfs:/Workspace/Users/")
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```
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## Conclusion
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Currently, Quarto does not fully work, at least not rendering.
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