Aditya-Deshwal23 commented on code in PR #1527:
URL: https://github.com/apache/hamilton/pull/1527#discussion_r3074436646


##########
README.md:
##########
@@ -53,6 +53,45 @@ under the License.
 
 Apache Hamilton (incubating) is a lightweight Python library for directed 
acyclic graphs (DAGs) of data transformations. Your DAG is **portable**; it 
runs anywhere Python runs, whether it's a script, notebook, Airflow pipeline, 
FastAPI server, etc. Your DAG is **expressive**; Apache Hamilton has extensive 
features to define and modify the execution of a DAG (e.g., data validation, 
experiment tracking, remote execution).
 
+## Quick Start (2 minutes)
+
+Get started with Apache Hamilton in just a few lines of code:
+
+```python
+# Step 1: Install (run in terminal)
+# pip install sf-hamilton
+
+# Step 2: Define your functions (nodes in the DAG)
+def A() -> int:

Review Comment:
   you're right  updated to use an in-memory module with with_modules, so it 
runs in REPL/notebooks without needing a file.



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