test

ploomber · Jun 26, 2023 · c81c366 · c81c366
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,7 +1,7 @@
 # CHANGELOG
 
 ## 0.7.10dev
-* [Feature] Modified `TableDescription` to add styling, generate messages and format the calculated outputs (#459)
+* [Feature] Modified `TableDescription` to add styling, generate messages and format the calculated outputs (#459) (test)
 * [Feature] Support flexible spacing `myvar=<<` operator ([#525](https://github.com/ploomber/jupysql/issues/525))
 * [Doc] Modified integrations content to ensure they're all consistent (#523)
 * [Doc] Document --persist-replace in API section (#539)

diff --git a/doc/quick-start.md b/doc/quick-start.md
@@ -19,6 +19,8 @@ myst:
     property=og:locale: en_US
 ---
 
+test
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 # Quick Start
 
 JupySQL allows you to run SQL and plot large datasets in Jupyter via a `%sql`, `%%sql`, and `%sqlplot` magics. JupySQL is compatible with all major databases (e.g., PostgreSQL, MySQL, SQL Server), data warehouses (e.g., Snowflake, BigQuery, Redshift), and embedded engines (SQLite, and DuckDB).