Spaces:
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add `init.py` for initial draft structure
Browse files
app.py
CHANGED
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import marimo
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__generated_with = "0.9.
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app = marimo.App()
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@app.cell
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def __():
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import marimo as mo
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mo.md("# Welcome to marimo! ππ")
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return (mo,)
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@app.cell
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def __(mo):
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slider = mo.ui.slider(1, 22)
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return (slider,)
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@app.cell
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def __(mo, slider):
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mo.md(
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f"""
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marimo is a **reactive** Python notebook.
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This means that unlike traditional notebooks, marimo notebooks **run
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automatically** when you modify them or
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interact with UI elements, like this slider: {slider}.
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{"##" + "π" * slider.value}
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(
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{
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"Tip: disabling automatic execution": mo.md(
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rf"""
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marimo lets you disable automatic execution: just go into the
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notebook settings and set
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"Runtime > On Cell Change" to "lazy".
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When the runtime is lazy, after running a cell, marimo marks its
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descendants as stale instead of automatically running them. The
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lazy runtime puts you in control over when cells are run, while
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still giving guarantees about the notebook state.
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"""
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)
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}
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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by entering `marimo edit` at the command line.
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"""
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).callout()
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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A marimo notebook is made up of small blocks of Python code called
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cells.
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marimo reads your cells and models the dependencies among them: whenever
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a cell that defines a global variable is run, marimo
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**automatically runs** all cells that reference that variable.
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Reactivity keeps your program state and outputs in sync with your code,
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making for a dynamic programming environment that prevents bugs before they
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happen.
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(
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mo.md(
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**reacted** by running this cell automatically, because this cell
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references the global variable `changed`.
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Reactivity ensures that your notebook state is always
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consistent, which is crucial for doing good science; it's also what
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enables marimo notebooks to double as tools and apps.
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"""
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)
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)
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)
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@app.cell
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def __():
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changed = False
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return (changed,)
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@app.cell(hide_code=True)
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def __(mo):
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mo.accordion(
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{
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"Tip: execution order": (
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"""
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The order of cells on the page has no bearing on
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the order in which cells are executed: marimo knows that a cell
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reading a variable must run after the cell that defines it. This
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frees you to organize your code in the way that makes the most
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sense for you.
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"""
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)
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}
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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**Global names must be unique.** To enable reactivity, marimo imposes a
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constraint on how names appear in cells: no two cells may define the same
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variable.
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.accordion(
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{
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"Tip: encapsulation": (
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"""
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By encapsulating logic in functions, classes, or Python modules,
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you can minimize the number of global variables in your notebook.
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"""
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)
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}
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.accordion(
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{
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"Tip: private variables": (
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"""
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Variables prefixed with an underscore are "private" to a cell, so
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they can be defined by multiple cells.
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"""
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)
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}
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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## 2. UI elements
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Cells can output interactive UI elements. Interacting with a UI
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element **automatically triggers notebook execution**: when
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you interact with a UI element, its value is sent back to Python, and
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every cell that references that element is re-run.
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marimo provides a library of UI elements to choose from under
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`marimo.ui`.
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"""
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)
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return
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@app.cell
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def __(mo):
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mo.md("""**π Some UI elements.** Try interacting with the below elements.""")
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return
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@app.cell
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def __(mo):
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icon = mo.ui.dropdown(["π", "π", "β¨"], value="π")
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return (icon,)
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@app.cell
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def __(icon, mo):
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repetitions = mo.ui.slider(1, 16, label=f"number of {icon.value}: ")
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return (repetitions,)
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@app.cell
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def __(icon, repetitions):
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icon, repetitions
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return
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@app.cell
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def __(icon, mo, repetitions):
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mo.md("# " + icon.value * repetitions.value)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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marimo cells parse Python (and only Python), and marimo notebooks are
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stored as pure Python files β outputs are _not_ included. There's no
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magical syntax.
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- legible for both humans and machines
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- formattable using your tool of choice,
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- usable as Python scripts, with UI elements taking their default
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values, and
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- importable by other modules (more on that in the future).
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"""
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)
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return
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@@ -256,215 +113,208 @@ def __(mo):
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def __(mo):
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mo.md(
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"""
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marimo notebooks can double as apps. Click the app window icon in the
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bottom-right to see this notebook in "app view."
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-
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notebooking, without ever making apps.
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(
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```
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marimo run notebook.py
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```
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to start a webserver that serves your notebook as an app in read-only mode,
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with code cells hidden.
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**Convert a Jupyter notebook.** Convert a Jupyter notebook to a marimo
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notebook using `marimo convert`:
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```
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marimo convert your_notebook.ipynb > your_app.py
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```
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**Tutorials.** marimo comes packaged with tutorials:
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- `sql`: how to use SQL
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- `layout`: layout elements in marimo
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- `fileformat`: how marimo's file format works
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- `markdown-format`: for using `.md` files in marimo
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- `for-jupyter-users`: if you are coming from Jupyter
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-
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[our GitHub repo](https://www.github.com/marimo-team/marimo/tree/main/examples).
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"""
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)
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return
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"""
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)
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return
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def __(mo, tips):
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mo.accordion(tips)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md("""## Finally, a fun fact""")
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return
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@app.cell(hide_code=True)
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def __(
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)
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return
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@app.cell(hide_code=True)
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def __():
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"Saving": (
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"""
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**Saving**
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- _Name_ your app using the box at the top of the screen, or
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with `Ctrl/Cmd+s`. You can also create a named app at the
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command line, e.g., `marimo edit app_name.py`.
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- _Save_ by clicking the save icon on the bottom right, or by
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inputting `Ctrl/Cmd+s`. By default marimo is configured
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to autosave.
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"""
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),
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"Running": (
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"""
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1. _Run a cell_ by clicking the play ( β· ) button on the top
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right of a cell, or by inputting `Ctrl/Cmd+Enter`.
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2. _Run a stale cell_ by clicking the yellow run button on the
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right of the cell, or by inputting `Ctrl/Cmd+Enter`. A cell is
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stale when its code has been modified but not run.
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3. _Run all stale cells_ by clicking the play ( β· ) button on
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the bottom right of the screen, or input `Ctrl/Cmd+Shift+r`.
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"""
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),
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"Console Output": (
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"""
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Console output (e.g., `print()` statements) is shown below a
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cell.
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"""
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),
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"Creating, Moving, and Deleting Cells": (
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"""
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1. _Create_ a new cell above or below a given one by clicking
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the plus button to the left of the cell, which appears on
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mouse hover.
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2. _Move_ a cell up or down by dragging on the handle to the
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right of the cell, which appears on mouse hover.
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3. _Delete_ a cell by clicking the trash bin icon. Bring it
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back by clicking the undo button on the bottom right of the
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screen, or with `Ctrl/Cmd+Shift+z`.
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"""
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),
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"Disabling Automatic Execution": (
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"""
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Via the notebook settings (gear icon) or footer panel, you
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can disable automatic execution. This is helpful when
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working with expensive notebooks or notebooks that have
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side-effects like database transactions.
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"""
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),
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"Disabling Cells": (
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"""
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You can disable a cell via the cell context menu.
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marimo will never run a disabled cell or any cells that depend on it.
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This can help prevent accidental execution of expensive computations
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when editing a notebook.
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"""
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),
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"Code Folding": (
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"""
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You can collapse or fold the code in a cell by clicking the arrow
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icons in the line number column to the left, or by using keyboard
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shortcuts.
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quickly fold or unfold all cells.
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"""
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),
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"Code Formatting": (
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"""
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If you have [ruff](https://github.com/astral-sh/ruff) installed,
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you can format a cell with the keyboard shortcut `Ctrl/Cmd+b`.
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"""
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),
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"Command Palette": (
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"""
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Use `Ctrl/Cmd+k` to open the command palette.
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"""
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),
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"Keyboard Shortcuts": (
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"""
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Open the notebook menu (top-right) or input `Ctrl/Cmd+Shift+h` to
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view a list of all keyboard shortcuts.
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"""
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),
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"Configuration": (
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"""
|
461 |
-
Configure the editor by clicking the gears icon near the top-right
|
462 |
-
of the screen.
|
463 |
-
"""
|
464 |
-
),
|
465 |
-
}
|
466 |
-
return (tips,)
|
467 |
|
468 |
|
469 |
if __name__ == "__main__":
|
470 |
-
app.run()
|
|
|
1 |
+
# /// script
|
2 |
+
# dependencies = [
|
3 |
+
# "marimo",
|
4 |
+
# "anywidget==0.9.13",
|
5 |
+
# "traitlets==5.14.3",
|
6 |
+
# ]
|
7 |
+
# ///
|
8 |
+
"""
|
9 |
+
This is the starting point for your notebook.
|
10 |
+
"""
|
11 |
+
|
12 |
import marimo
|
13 |
|
14 |
+
__generated_with = "0.9.10"
|
15 |
app = marimo.App()
|
16 |
|
17 |
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|
18 |
@app.cell(hide_code=True)
|
19 |
+
def __(header_widget):
|
20 |
+
header_widget
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|
21 |
return
|
22 |
|
23 |
|
24 |
@app.cell(hide_code=True)
|
25 |
def __(mo):
|
26 |
mo.md(
|
27 |
+
r"""
|
28 |
+
First of all, create a header for your notebook.
|
29 |
+
|
30 |
+
We've designed a `HeaderWidget` for you to display important information.
|
31 |
+
|
32 |
+
To use `HeaderWidget`, you need to create an instance of it. You can pass a dictionary containing key-value pairs that represent the information you want to display in the header.
|
33 |
+
|
34 |
+
For example:
|
35 |
+
|
36 |
+
```python
|
37 |
+
header_widget = HeaderWidget(
|
38 |
+
result={
|
39 |
+
"Title": "Comprehensive E-Commerce Customer Behavior Analysis",
|
40 |
+
"Author": '<a href="https://github.com/Haleshot/marimo-tutorials">Dr. Jane Smith, PhD</a>',
|
41 |
+
"Version": "1.2.3",
|
42 |
+
"Description": "This advanced notebook presents a multi-faceted analysis of <b>customer behavior patterns</b> across various e-commerce platforms. The primary goal is to derive actionable insights that can significantly enhance customer engagement, optimize conversion rates, and ultimately drive business growth in the competitive e-commerce landscape.",
|
43 |
+
"Keywords": "E-Commerce Analytics, Customer Behavior Modeling, Predictive Analytics, Machine Learning, Natural Language Processing, Data Visualization, Time Series Analysis",
|
44 |
+
"Data Sources": "1. Customer transaction logs (5 years, 10M+ records)<br>2. Website clickstream data (real-time, 1B+ events)<br>3. CRM records (customer demographics, purchase history)<br>4. Social media interactions (Twitter, Facebook, Instagram)<br>5. Customer support tickets and chat logs<br>6. Product catalog and inventory data",
|
45 |
+
"Last Updated": "November 3, 2024",
|
46 |
+
}
|
47 |
+
)
|
48 |
+
```
|
49 |
"""
|
50 |
+
)
|
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|
51 |
return
|
52 |
|
53 |
|
54 |
@app.cell(hide_code=True)
|
55 |
def __(mo):
|
56 |
mo.md(
|
57 |
+
r"""
|
58 |
+
**Some tips from our experience with marimo**
|
59 |
+
|
60 |
+
1. If a notebook contains any io operation, e.g., reading an external .csv file, you'd better use a `marimo.ui.form` for users to config the path of this .csv file.
|
61 |
+
2. You can create more ui components and appealing contents with pure html, [anywidget](https://github.com/manzt/anywidget) and more. But when you are doing this, remember to check its appearance under both light and dark themes, and different widths.
|
62 |
+
3. Albeit you can create local variables in a cell with a prefix "_", we recommend you do this as little as possible because the `Explore variables` panel will neglect these variables, making debug these variables hard.
|
63 |
+
4. If you want your notebook to run properly in our cloud, please check whether the dependencies are supported by wasm. Some popular libraries like `polars` and `openai`, for example, are not supported.
|
64 |
+
5. Attach as few assets as possible, we want to keep our repo lightweight.
|
65 |
+
6. Functional thinking are preferred in marimo since instances are immutable.
|
66 |
"""
|
67 |
+
).callout(kind="info")
|
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|
68 |
return
|
69 |
|
70 |
|
71 |
@app.cell(hide_code=True)
|
72 |
+
def __(mo):
|
73 |
+
# Custom Constants
|
74 |
+
custom_form = (
|
75 |
mo.md(
|
76 |
+
r"""
|
77 |
+
**Customize your constants here:**
|
78 |
|
79 |
+
{image}
|
|
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|
|
80 |
|
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|
|
|
|
|
81 |
"""
|
82 |
)
|
83 |
+
.batch(
|
84 |
+
image=mo.ui.text(
|
85 |
+
value="../assets/<>/<>",
|
86 |
+
label="Path of your data: ",
|
87 |
+
full_width=True,
|
88 |
+
), ## add more rows below
|
89 |
)
|
90 |
+
.form(bordered=True, label="Custom Constants")
|
91 |
)
|
92 |
+
custom_form
|
93 |
+
return (custom_form,)
|
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|
|
94 |
|
95 |
|
96 |
@app.cell(hide_code=True)
|
97 |
def __(mo):
|
98 |
mo.md(
|
99 |
+
r"""
|
100 |
+
You can access the value of the form above with:
|
|
|
|
|
|
|
|
|
101 |
|
102 |
+
```python
|
103 |
+
custom_form.value['image']
|
104 |
+
```
|
105 |
|
106 |
+
after the submission.
|
|
|
|
|
|
|
|
|
|
|
107 |
"""
|
108 |
+
).callout(kind="info")
|
109 |
return
|
110 |
|
111 |
|
|
|
113 |
def __(mo):
|
114 |
mo.md(
|
115 |
"""
|
116 |
+
<h1 id="refs">References</h1>
|
|
|
|
|
|
|
117 |
|
118 |
+
- [Reference 1](https://example.com)
|
119 |
+
- [Reference 2](https://example.com)
|
|
|
120 |
"""
|
121 |
)
|
122 |
return
|
123 |
|
124 |
|
125 |
@app.cell(hide_code=True)
|
126 |
+
def __():
|
127 |
+
import anywidget
|
128 |
+
import traitlets
|
129 |
+
|
130 |
+
class HeaderWidget(anywidget.AnyWidget):
|
131 |
+
_esm = """
|
132 |
+
function escapeHTML(str) {
|
133 |
+
return str.replace(/[&<>'"]/g,
|
134 |
+
tag => ({
|
135 |
+
'&': '&',
|
136 |
+
'<': '<',
|
137 |
+
'>': '>',
|
138 |
+
"'": ''',
|
139 |
+
'"': '"'
|
140 |
+
}[tag] || tag)
|
141 |
+
);
|
142 |
+
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
143 |
|
144 |
+
function stripHTML(html) {
|
145 |
+
const tmp = document.createElement("DIV");
|
146 |
+
tmp.innerHTML = html;
|
147 |
+
return tmp.textContent || tmp.innerText || "";
|
148 |
+
}
|
|
|
|
|
|
|
|
|
|
|
149 |
|
150 |
+
function renderValue(value) {
|
151 |
+
if (typeof value !== 'string') {
|
152 |
+
return escapeHTML(String(value));
|
153 |
+
}
|
154 |
+
|
155 |
+
const isHTML = /<[a-z][\s\S]*>/i.test(value);
|
156 |
+
const strippedValue = isHTML ? stripHTML(value) : value;
|
157 |
+
|
158 |
+
if (strippedValue.length > 100) {
|
159 |
+
if (isHTML) {
|
160 |
+
return `
|
161 |
+
<div class="preview">${value.substring(0, 100)}...</div>
|
162 |
+
<div class="full-text" style="display: none;">${value}</div>
|
163 |
+
<button class="toggle-button">Show More</button>
|
164 |
+
`;
|
165 |
+
} else {
|
166 |
+
return `
|
167 |
+
<div class="preview">${escapeHTML(value.substring(0, 100))}...</div>
|
168 |
+
<div class="full-text" style="display: none;">${escapeHTML(value)}</div>
|
169 |
+
<button class="toggle-button">Show More</button>
|
170 |
+
`;
|
171 |
+
}
|
172 |
+
}
|
173 |
+
|
174 |
+
return isHTML ? value : escapeHTML(value);
|
175 |
+
}
|
176 |
|
177 |
+
function render({ model, el }) {
|
178 |
+
const result = model.get("result");
|
179 |
+
const container = document.createElement("div");
|
180 |
+
container.className = "header-container";
|
181 |
+
|
182 |
+
container.innerHTML = `
|
183 |
+
<img class="banner" src="https://raw.githubusercontent.com/Haleshot/marimo-tutorials/main/community-tutorials-banner.png" alt="Marimo Banner">
|
184 |
+
<div class="form-container">
|
185 |
+
${Object.entries(result).map(([key, value]) => `
|
186 |
+
<div class="form-row">
|
187 |
+
<label>${escapeHTML(key)}</label>
|
188 |
+
<div class="value-container">
|
189 |
+
${renderValue(value)}
|
190 |
+
</div>
|
191 |
+
</div>
|
192 |
+
`).join('')}
|
193 |
+
</div>
|
194 |
+
`;
|
195 |
+
|
196 |
+
el.appendChild(container);
|
197 |
+
|
198 |
+
container.querySelectorAll('.toggle-button').forEach(button => {
|
199 |
+
button.addEventListener('click', () => {
|
200 |
+
const row = button.closest('.form-row');
|
201 |
+
const preview = row.querySelector('.preview');
|
202 |
+
const fullText = row.querySelector('.full-text');
|
203 |
+
|
204 |
+
if (fullText.style.display === "none") {
|
205 |
+
fullText.style.display = "block";
|
206 |
+
preview.style.display = "none";
|
207 |
+
button.textContent = "Show Less";
|
208 |
+
} else {
|
209 |
+
fullText.style.display = "none";
|
210 |
+
preview.style.display = "block";
|
211 |
+
button.textContent = "Show More";
|
212 |
+
}
|
213 |
+
});
|
214 |
+
});
|
215 |
+
}
|
216 |
|
217 |
+
export default { render };
|
|
|
218 |
"""
|
|
|
|
|
219 |
|
220 |
+
_css = """
|
221 |
+
.header-container {
|
222 |
+
font-family: 'Helvetica Neue', Arial, sans-serif;
|
223 |
+
max-width: 100%;
|
224 |
+
margin: 0 auto;
|
225 |
+
overflow: hidden;
|
226 |
+
}
|
227 |
+
.banner {
|
228 |
+
width: 100%;
|
229 |
+
height: 200px;
|
230 |
+
object-fit: cover;
|
231 |
+
border-radius: 10px 10px 0 0;
|
232 |
+
display: block;
|
233 |
+
}
|
234 |
+
.form-container {
|
235 |
+
padding: 30px;
|
236 |
+
display: grid;
|
237 |
+
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
|
238 |
+
gap: 20px;
|
239 |
+
font-weight: 300;
|
240 |
+
box-shadow: 0 -10px 20px rgba(0,0,0,0.1);
|
241 |
+
}
|
242 |
+
.form-row {
|
243 |
+
display: flex;
|
244 |
+
flex-direction: column;
|
245 |
+
}
|
246 |
+
label {
|
247 |
+
font-size: 0.8em;
|
248 |
+
text-transform: uppercase;
|
249 |
+
letter-spacing: 1px;
|
250 |
+
margin-bottom: 5px;
|
251 |
+
font-weight: 500;
|
252 |
+
}
|
253 |
+
.value-container {
|
254 |
+
font-size: 1em;
|
255 |
+
line-height: 1.5;
|
256 |
+
}
|
257 |
+
.value-container a {
|
258 |
+
color: #0066cc;
|
259 |
+
text-decoration: none;
|
260 |
+
transition: color 0.2s ease;
|
261 |
+
}
|
262 |
+
.value-container a:hover {
|
263 |
+
color: #003366;
|
264 |
+
}
|
265 |
+
.preview, .full-text {
|
266 |
+
margin-bottom: 10px;
|
267 |
+
}
|
268 |
+
.toggle-button {
|
269 |
+
border: none;
|
270 |
+
border-radius: 20px;
|
271 |
+
padding: 8px 16px;
|
272 |
+
font-size: 0.9em;
|
273 |
+
cursor: pointer;
|
274 |
+
transition: all 0.3s ease;
|
275 |
+
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
|
276 |
+
}
|
277 |
+
.toggle-button:hover {
|
278 |
+
box-shadow: 0 4px 8px rgba(0,0,0,0.15);
|
279 |
+
}
|
280 |
+
@media (max-width: 600px) {
|
281 |
+
.form-container {
|
282 |
+
grid-template-columns: 1fr;
|
283 |
+
}
|
284 |
+
}
|
285 |
"""
|
|
|
|
|
286 |
|
287 |
+
result = traitlets.Dict({}).tag(sync=True)
|
288 |
|
289 |
+
return HeaderWidget, anywidget, traitlets
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
290 |
|
291 |
|
292 |
@app.cell(hide_code=True)
|
293 |
+
def __(HeaderWidget):
|
294 |
+
header_widget = HeaderWidget(
|
295 |
+
result={
|
296 |
+
"Title": "Comprehensive E-Commerce Customer Behavior Analysis",
|
297 |
+
"Author": '<a href="https://github.com/Haleshot/marimo-tutorials">Dr. Jane Smith, PhD</a>',
|
298 |
+
"Affiliation": '<a href="https://www.datascience.university.edu">University of Data Science</a>',
|
299 |
+
"Version": "1.2.3",
|
300 |
+
"Description": "This advanced notebook presents a multi-faceted analysis of <b>customer behavior patterns</b> across various e-commerce platforms. The primary goal is to derive actionable insights that can significantly enhance customer engagement, optimize conversion rates, and ultimately drive business growth in the competitive e-commerce landscape.",
|
301 |
+
"Keywords": "E-Commerce Analytics, Customer Behavior Modeling, Predictive Analytics, Machine Learning, Natural Language Processing, Data Visualization, Time Series Analysis",
|
302 |
+
"Data Sources": "1. Customer transaction logs (5 years, 10M+ records)<br>2. Website clickstream data (real-time, 1B+ events)<br>3. CRM records (customer demographics, purchase history)<br>4. Social media interactions (Twitter, Facebook, Instagram)<br>5. Customer support tickets and chat logs<br>6. Product catalog and inventory data",
|
303 |
+
"Prerequisites": "Intermediate to advanced knowledge in statistics, machine learning, and Python programming. Familiarity with e-commerce concepts and business metrics is beneficial.",
|
304 |
+
"Acknowledgements": "This work was supported by a grant from the National Science Foundation (NSF-1234567). Special thanks to the E-Commerce Research Consortium for providing anonymized datasets.",
|
305 |
+
"License": '<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA 4.0</a>',
|
306 |
+
"Last Updated": "November 3, 2024",
|
307 |
+
}
|
308 |
)
|
309 |
+
return (header_widget,)
|
310 |
|
311 |
|
312 |
@app.cell(hide_code=True)
|
313 |
def __():
|
314 |
+
import marimo as mo
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
315 |
|
316 |
+
return (mo,)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
317 |
|
318 |
|
319 |
if __name__ == "__main__":
|
320 |
+
app.run()
|