diff --git a/1.18.0/columns-in-columns/requirements.txt b/1.18.0/columns-in-columns/requirements.txt
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+streamlit==1.18.0
\ No newline at end of file
diff --git a/1.18.0/columns-in-columns/streamlit_app.py b/1.18.0/columns-in-columns/streamlit_app.py
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+import numpy as np
+import pandas as pd
+import streamlit as st
+
+
+st.write(
+    f'<span style="font-size: 78px; line-height: 1">🪆</span>',
+    unsafe_allow_html=True,
+)
+
+"""
+# Columns inside columns
+
+Streamlit 1.18 introduces support for nested `st.columns`! Just do:
+
+```python
+col1, col2 = st.columns()
+
+# Now add subcolumns...
+subcol1, subcol2 = col1.columns()
+subcol1.write("Inside a nested column 🎈")
+```
+
+This is possible up to one level of nesting in the main area of the app but not in the 
+sidebar ([read more](https://docs.streamlit.io/knowledge-base/using-streamlit/why-streamlit-restrict-nested-columns)). 
+Below are some examples for the types of layouts you can create now!
+"""
+
+"---"
+
+"## Example 1"
+
+col1, col2 = st.columns(2, gap="medium")
+
+right_side = col1.radio(
+    "Show on right side 👉", ["Chart", "Image", "Map"], horizontal=True
+)
+
+subcol1, subcol2 = col1.columns(2)
+subcol1.text_input("Text input 1")
+subcol2.text_input("Text input 2")
+col1.text_area("Text Area 1")
+
+subcol1, subcol2, subcol3, subcol4 = col1.columns(4)
+subcol1.checkbox("One")
+subcol2.checkbox("Two")
+subcol3.checkbox("Three")
+subcol4.checkbox("Four")
+
+if right_side == "Chart":
+    col2.bar_chart(np.random.rand(100))
+elif right_side == "Image":
+    col2.image(
+        "https://streamlit.io/images/brand/streamlit-logo-primary-colormark-darktext.png",
+        use_column_width=True,
+    )
+elif right_side == "Map":
+    points = [(55.22, 21.01), (52.52, 13.40)]
+    df = pd.DataFrame(points, columns=["lat", "lon"])
+    col2.map(df)
+else:
+    raise ValueError(f"Unexpected right_side: {right_side}")
+
+"---"
+"## Example 2"
+
+col1, col2 = st.columns([2, 1], gap="medium")
+
+subcol1, subcol2 = col1.columns([1, 2])
+subcol1.metric("A metric", 123456, 123)
+subcol2.line_chart(np.random.rand(10), height=200)
+
+subcol1, subcol2 = col1.columns([1, 2])
+subcol1.metric("A metric", 123456, 123)
+subcol2.line_chart(np.random.rand(10), height=200)
+
+subcol1, subcol2 = col1.columns([1, 2])
+subcol1.metric("A metric", 123456, 123)
+subcol2.line_chart(np.random.rand(10), height=200)
+
+col2.write(
+    "Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting."
+)
+col2.write(
+    "Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting."
+)
+
+"---"
+"## Example 3"
+col1, col2 = st.columns([1, 2], gap="medium")
+with col1:
+    st.line_chart(np.random.rand(10), height=250)
+    st.line_chart(np.random.rand(10), height=250)
+
+with col2:
+    with st.expander("Show charts", expanded=True):
+        subcol1, subcol2 = st.columns(2)
+        subcol1.line_chart(np.random.rand(10), height=250)
+        subcol2.line_chart(np.random.rand(10), height=250)
+    st.expander("Show dataframe").dataframe(
+        np.random.rand(10, 10), use_container_width=True, height=250
+    )
+
+    with st.expander("Show charts"):
+        subcol1, subcol2 = st.columns(2)
+        subcol1.line_chart(np.random.rand(10), height=250)
+        subcol2.line_chart(np.random.rand(10), height=250)