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4 changes: 2 additions & 2 deletions web/website/content/_index.md
Original file line number Diff line number Diff line change
Expand Up @@ -183,8 +183,8 @@ integrations_section:
with a pandas DataFrame."

- label: "DuckDB"
link: https://github.com/ywelsch/duckdb-prql
text: A DuckDB extension to execute PRQL
link: https://duckdb.org/community_extensions/extensions/prql
text: A DuckDB community extension to execute PRQL

- label: "QStudio"
link: https://www.timestored.com/qstudio/prql-ide
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5 changes: 3 additions & 2 deletions web/website/content/faq.md
Original file line number Diff line number Diff line change
Expand Up @@ -22,8 +22,9 @@ way is with our integrations:
magic. As well as connecting to existing DBs, our integration with DuckDB
enables querying pandas dataframes, CSVs & Parquet files, and writing the
output to a dataframe.
- **[DuckDB extension](https://github.com/ywelsch/duckdb-prql)** — is a DuckDB
extension which allows querying a DuckDB instance with PRQL.
- **[DuckDB extension](https://duckdb.org/community_extensions/extensions/prql)**
— is a DuckDB community extension which allows querying a DuckDB instance with
PRQL.

It's also possible to query PRQL from your code with our [bindings](/#bindings)
for R, Rust, Python & JS. For an example of using PRQL with DuckDB, check out
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