From 96e8bdf3aa8e0d645534bd19188d086d234e606e Mon Sep 17 00:00:00 2001
From: Elliana May <me@mause.me>
Date: Sun, 21 Aug 2022 03:12:47 +0800
Subject: [PATCH] docs: link to example of IPython-SQL usage

---
 README.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/README.md b/README.md
index cc7ea815..f847ef80 100644
--- a/README.md
+++ b/README.md
@@ -42,6 +42,11 @@ frank = session.query(FakeModel).one()
 assert frank.name == "Frank"
 ```
 
+## Usage in IPython/Jupyter
+
+With IPython-SQL and DuckDB-Engine you can query DuckDB natively in your notebook!
+Alex Monahan has a great demo of this on [his blog](https://alex-monahan.github.io/2021/08/22/Python_and_SQL_Better_Together.html#an-example-workflow-with-duckdb)
+
 ## Configuration
 
 You can configure DuckDB by passing `connect_args` to the create_engine function