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‎marimo-notebook/README.md‎

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The materials contained in this download are designed to complement the RealPython tutorial [Marimo: A Reactive, Reproducible Notebook](https://realpython.com/marimo-notebook-reactive-reproducible/).
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You should create a new folder named marimo on your computer and place each of these files inside it. You may also consider creating a [Python virtual environment](https://realpython.com/python-virtual-environments-a-primer/) within this folder.
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Your download bundle contains the following files:
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hypotenuse_calculator_before_update.py - This file contains the code before any updating is attempted. The code has been deliberately placed out of order, however it runs cleanly.
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hypotenuse_calculator_duplicate_variable.py - This file shows the effect of re-defining a variable. This file produces an error.
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hypotenuse_calculator_after_update.py - This file contains the code after the `adjacent` variable was updated to `10`. This file runs cleanly.
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hypotenuse_calculator_after_deletion.py - This file contains the code after the `opposite variable` was deleted. This file produces an error.
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break_even_analysis_chart_code.py - This file contains the basic chart code. It will produce a break-even analysis for a fixed set of input data.
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break_even_analysis_UI_elements.py - This file contains includes the four UI interface elements to allow the plot to be adjusted.
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break_even_analysis_solution.py - This file contains a possible solution to the skills test.
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packages.py - This file contains the code used to demonstrate sandboxing.
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quadratic.py - This file contains the marimo notebook version of the quadratic formula example.
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equation.py - This file contains the Python script version of quadratic.py.
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hidden_state.ipynb - This file contains a Jupyter Notebook that can be used as a starting point for the investigation of its problems. You should adjust it as instructed in the tutorial.

‎marimo-notebook/break_even_analysis_UI_elements.py‎

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import marimo
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__generated_with = "0.11.0"
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app = marimo.App(width="medium")
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@app.cell
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def _():
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import marimo as mo
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return (mo,)
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@app.cell
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def _(
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drop_color_costs,
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drop_quantity,
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rd_fixed_cost,
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sl_cost_price,
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text_selling_price,
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):
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import matplotlib.pyplot as plt
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fixed_cost = int(rd_fixed_cost.value)
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unit_cost = sl_cost_price.value
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selling_price = float(text_selling_price.value)
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upper_production_quantity = drop_quantity.value
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break_even_quantity = fixed_cost / (selling_price - unit_cost)
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break_even_income = break_even_quantity * selling_price
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units = [
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quantity * 1000 for quantity in range(upper_production_quantity + 1)
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]
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unit_costs = [(unit * unit_cost) + fixed_cost for unit in units]
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sales_income = [unit * selling_price for unit in units]
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plt.plot(units, unit_costs, marker="o", color=drop_color_costs.value)
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plt.plot(units, sales_income, marker="x")
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plt.xlabel("Units Produced")
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plt.ylabel("($)")
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plt.legend(["Total Costs", "Total Income"])
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plt.title("Break-Even Analysis")
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plt.vlines(
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break_even_quantity,
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ymin=0,
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ymax=break_even_income,
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linestyles="dashed",
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)
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plt.text(
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x=break_even_quantity + 100,
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y=int(break_even_income / 2),
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s=int(break_even_quantity),
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)
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plt.grid()
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plt.show()
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return (
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break_even_income,
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break_even_quantity,
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fixed_cost,
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plt,
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sales_income,
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selling_price,
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unit_cost,
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unit_costs,
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units,
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upper_production_quantity,
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)
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@app.cell
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def _(mo):
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options = ["40000", "50000"]
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rd_fixed_cost = mo.ui.radio(options=options, value="50000")
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sl_cost_price = mo.ui.slider(start=2, stop=5, step=1)
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text_selling_price = mo.ui.text(value="10")
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drop_quantity = mo.ui.dropdown(
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options={"10000": 10, "12000": 12, "15000": 15}, value="10000"
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)
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sw_disply_break_even = mo.ui.switch()
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drop_color_costs = mo.ui.dropdown(
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options={"Red": "red", "Green": "green", "Blue": "blue"}, value="Red"
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)
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mo.md(
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f"""
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Select Fixed Costs: {rd_fixed_cost}
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Select Unit Cost Price: {sl_cost_price}
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Enter Selling Price: {text_selling_price}
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Select a Maximum Quantity: {drop_quantity}
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"""
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)
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return (
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drop_color_costs,
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drop_quantity,
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options,
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rd_fixed_cost,
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sl_cost_price,
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sw_disply_break_even,
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text_selling_price,
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)
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if __name__ == "__main__":
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app.run()

‎marimo-notebook/break_even_analysis_chart_code.py‎

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import marimo
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__generated_with = "0.10.14"
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app = marimo.App(width="medium")
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@app.cell
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def _():
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import matplotlib.pyplot as plt
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fixed_cost = 50000
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unit_cost = 2
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selling_price = 10
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unit_range = 10
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break_even_quantity = fixed_cost / (selling_price - unit_cost)
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break_even_income = fixed_cost + break_even_quantity * unit_cost
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units = [x * 1000 for x in range(unit_range)]
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unit_costs = [(x * unit_cost) + fixed_cost for x in units]
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sales_income = [unit * selling_price for unit in units]
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plt.plot(units, unit_costs, marker="o")
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plt.plot(units, sales_income, marker="x")
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plt.xlabel("Units Produced")
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plt.ylabel("($)")
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plt.legend(["Total Costs", "Total Income"])
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plt.title("Break-Even Analysis")
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plt.vlines(
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break_even_quantity,
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ymin=0,
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ymax=break_even_income,
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linestyles="dashed",
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)
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plt.text(
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x=break_even_quantity + 100,
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y=int(break_even_income / 2),
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s=int(break_even_quantity),
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)
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plt.grid()
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plt.show()
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return (
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break_even_income,
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break_even_quantity,
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fixed_cost,
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plt,
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sales_income,
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selling_price,
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unit_cost,
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unit_costs,
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unit_range,
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units,
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)
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if __name__ == "__main__":
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app.run()

‎marimo-notebook/break_even_analysis_solution.py‎

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import marimo
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__generated_with = "0.11.0"
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app = marimo.App(width="medium")
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@app.cell
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def _():
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import marimo as mo
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return (mo,)
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@app.cell
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def _(
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drop_plot_color,
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drop_quantity,
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rd_fixed_cost,
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sl_cost_price,
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sw_break_even,
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text_selling_price,
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):
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import matplotlib.pyplot as plt
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fixed_cost = int(rd_fixed_cost.value)
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unit_cost = sl_cost_price.value
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selling_price = float(text_selling_price.value)
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unit_range = drop_quantity.value
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break_even_quantity = fixed_cost / (selling_price - unit_cost)
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break_even_income = break_even_quantity * selling_price
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units = [quantity * 1000 for quantity in range(unit_range + 1)]
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total_costs = [(unit * unit_cost) + fixed_cost for unit in units]
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sales_income = [unit * selling_price for unit in units]
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plt.plot(units, total_costs, marker="o", color=drop_plot_color.value)
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plt.plot(units, sales_income, marker="x")
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plt.xlabel("Units Produced")
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plt.ylabel("($)")
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plt.legend(["Total Costs", "Total Income"])
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plt.title("Break-Even Analysis")
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if sw_break_even.value:
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plt.vlines(
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break_even_quantity,
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ymin=100,
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ymax=break_even_income,
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linestyles="dashed",
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)
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plt.text(
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x=break_even_quantity + 100,
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y=int(break_even_income / 2),
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s=int(break_even_quantity),
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)
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plt.grid()
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plt.show()
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return (
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break_even_income,
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break_even_quantity,
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fixed_cost,
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plt,
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sales_income,
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selling_price,
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total_costs,
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unit_cost,
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unit_range,
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units,
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)
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@app.cell
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def _(mo):
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options = ["40000", "50000"]
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rd_fixed_cost = mo.ui.radio(options=options, value="50000")
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sl_cost_price = mo.ui.slider(start=2, stop=5, step=1)
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text_selling_price = mo.ui.text(value="10")
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drop_quantity = mo.ui.dropdown(
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options={"10000": 10, "12000": 12, "15000": 15}, value="10000"
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)
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sw_break_even = mo.ui.switch()
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drop_plot_color = mo.ui.dropdown(
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options={"Red": "red", "Green": "green", "Blue": "blue"}, value="Red"
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)
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mo.md(
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f"""
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Select Fixed Costs: {rd_fixed_cost}
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Select Unit Cost Price: {sl_cost_price}
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Enter Selling Price: {text_selling_price}
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Select a Maximum Quantity: {drop_quantity}
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Display Break-Even Data: {sw_break_even}
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Select Total Costs Plot Color: {drop_plot_color}
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"""
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)
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return (
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drop_plot_color,
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drop_quantity,
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options,
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rd_fixed_cost,
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sl_cost_price,
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sw_break_even,
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text_selling_price,
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)
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if __name__ == "__main__":
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app.run()

‎marimo-notebook/equation.py‎

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__generated_with = "0.11.0"
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# %%
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import marimo as mo
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# %%
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mo.md(
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r"""
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A quadratic equation is one of the form **$ax^2 + bx + c = 0$**, where a, b and c are constants, and a $\neq$ 0.
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You can solve it using the *quadratic formula*:
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$$x = \frac {-b \pm \sqrt{b^2 -4ac}} {2a}$$
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For example, suppose you wanted to solve: **$2x^2 - 3x - 2 = 0$**
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"""
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)
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# %%
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a = 2
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# %%
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import math
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# %%
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b = -3
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# %%
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c = -2
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# %%
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x1 = (-b + math.sqrt(b**2 - 4 * a * c)) / (2 * a)
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# %%
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x2 = (-b - math.sqrt(b**2 - 4 * a * c)) / (2 * a)
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# %%
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print(f"x = {x1} and {x2}.")

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