pip install marimo                    # Basic
pip install marimo[recommended]       # With extras
pip install marimo[sql]               # With SQL support

marimo tutorial intro                 # Start tutorial

# Edit
marimo edit                           # New notebook
marimo edit notebook.py               # Edit existing
marimo edit --watch --sandbox         # Watch files, isolate deps

# Run as app
marimo run notebook.py                # Read-only app
marimo run notebook.py --watch        # Auto-reload on changes

# Run as script
python notebook.py

# Create from prompt
marimo new "analyze sales data"

# Convert
marimo convert notebook.ipynb -o notebook.py

# Export
marimo export html notebook.py -o output.html
marimo export html-wasm notebook.py -o output.html  # Browser-executable

import marimo
app = marimo.App()

@app.cell
def _():
    import marimo as mo
    return (mo,)

@app.cell
def _(mo):
    mo.md("# My Notebook")
    return ()

import marimo as mo

slider = mo.ui.slider(0, 100, value=50, label="Threshold")
slider

# In another cell
mo.md(f"Selected value: **{slider.value}**")

table = mo.ui.table(df, selection="multi")
table

# In another cell
selected = table.value  # Selected rows as DataFrame

result = mo.sql(f"SELECT * FROM {df} WHERE value > {threshold.value}")

mo.stop(form.value is None, mo.md("Submit the form to continue"))
# Rest of cell runs only after form submission

marimo run notebook.py                    # Local app
marimo export html-wasm notebook.py       # Static WASM app