add marimo examples

Author: khuyentran1401

data_science_tools/marimo_examples/auto_upate.py

@@ -0,0 +1,27 @@
+import marimo
+
+__generated_with = "0.13.0"
+app = marimo.App(width="medium")
+
+
+@app.cell
+def _():
+    threshold = 30
+    return (threshold,)
+
+
+@app.cell
+def _(threshold):
+    data = [20, 40, 60, 80]
+    filtered = [x for x in data if x > threshold]
+    print(filtered)
+    return
+
+
+@app.cell
+def _():
+    return
+
+
+if __name__ == "__main__":
+    app.run()

data_science_tools/marimo_examples/auto_update.ipynb

@@ -0,0 +1,63 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "bb7da31d-3876-43a2-b5b6-cee60a62627b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "threshold = 50"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "73f3d03b-9167-4295-9350-e8232a7f3d83",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[60, 80]\n"
+     ]
+    }
+   ],
+   "source": [
+    "data = [20, 40, 60, 80]\n",
+    "filtered = [x for x in data if x > threshold]\n",
+    "print(filtered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "81b065eb-3eea-4f61-b1f5-8ec1d46a2737",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

data_science_tools/marimo_examples/interactive_notebook.py

@@ -0,0 +1,24 @@
+import marimo
+
+__generated_with = "0.13.0"
+app = marimo.App(width="medium")
+
+
+@app.cell
+def _():
+    from marimo import ui
+
+    multiplier = ui.slider(1, 10, 3, label="Multiplier")
+    multiplier
+    return (multiplier,)
+
+
+@app.cell
+def _(multiplier):
+    result = [x * multiplier.value for x in range(5)]
+    print(result)
+    return
+
+
+if __name__ == "__main__":
+    app.run()

data_science_tools/marimo_examples/isolated_notebook.py

@@ -0,0 +1,29 @@
+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+#     "marimo",
+#     "numpy==2.2.5",
+#     "pandas==2.2.3",
+# ]
+# ///
+
+
+import marimo
+
+__generated_with = "0.13.0"
+app = marimo.App(width="medium")
+
+
+@app.cell
+def _():
+    import numpy as np
+    import pandas as pd
+
+    np.random.seed(1)
+    df = pd.DataFrame({"value": np.random.randn(5)})
+    print(df)
+    return
+
+
+if __name__ == "__main__":
+    app.run()

data_science_tools/marimo_examples/variable_redefinition.ipynb

@@ -0,0 +1,72 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "82e65582-f723-4e3f-8098-b42044ae85ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = [1, 2, 3]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "f5661f3b-7b25-4a51-91f2-8f0feca3739e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sum: 60\n"
+     ]
+    }
+   ],
+   "source": [
+    "summary = sum(data)\n",
+    "print(\"Sum:\", summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9a54c42c-7a41-4a49-b334-6c4086784a84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = [10, 20, 30]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "233e800c-11aa-4240-a5b7-21a1543ec947",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

data_science_tools/marimo_examples/variable_redefinition.py

@@ -0,0 +1,32 @@
+import marimo
+
+__generated_with = "0.13.0"
+app = marimo.App()
+
+
+@app.cell
+def _():
+    data = [1, 2, 3]
+    return (data,)
+
+
+@app.cell
+def _(data):
+    summary = sum(data)
+    print("Sum:", summary)
+    return
+
+
+@app.cell
+def _():
+    data_1 = [10, 20, 30]
+    return
+
+
+@app.cell
+def _():
+    return
+
+
+if __name__ == "__main__":
+    app.run()

pyproject.toml

@@ -7,4 +7,5 @@ requires-python = ">=3.11"
 dependencies = [
     "marimo>=0.13.0",
     "nbformat>=5.10.4",
+    "pandas>=2.2.3",
 ]