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Add interactive notebook for loops in Python
Browse files
Python/phase_2/loop_structures.py
ADDED
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1 |
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# /// script
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# requires-python = ">=3.10"
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# dependencies = [
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# "marimo",
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# ]
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# ///
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import marimo
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__generated_with = "0.10.14"
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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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return (mo,)
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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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+
# 🔄 Loops in Python
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Let's explore how Python helps us repeat tasks efficiently with loops!
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## Types of Loops
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Python has two main types of loops:
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```python
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# For loop - when you know how many times to repeat
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for i in range(5):
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print(i)
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# While loop - when you don't know how many repetitions
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while condition:
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do_something()
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```
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Let's start with a simple list to explore loops.
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"""
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)
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return
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@app.cell
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def _():
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sample_fruits = ["apple", "banana", "orange", "grape"]
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return (sample_fruits,)
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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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## For Loop Basics
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The for loop is perfect for iterating over sequences.
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Try changing the `sample_fruits` list above and see how the output changes.
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"""
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)
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return
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@app.cell
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def _(sample_fruits):
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def _print_fruits():
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for _fruit in sample_fruits:
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print(f"I like {_fruit}s!")
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_print_fruits()
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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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## Using enumerate()
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When you need both the item and its position, use enumerate():
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""")
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return
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@app.cell
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def _(sample_fruits):
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def _print_enumerated():
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for _idx, _fruit in enumerate(sample_fruits):
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print(f"{_idx + 1}. {_fruit}")
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_print_enumerated()
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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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## Range in Loops
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range() is a powerful function for generating sequences of numbers:
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""")
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return
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@app.cell
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def _():
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def _demonstrate_range():
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print("range(5):", list(range(5)))
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print("range(2, 5):", list(range(2, 5)))
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print("range(0, 10, 2):", list(range(0, 10, 2)))
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_demonstrate_range()
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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("""## While Loop Basics
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While loops continue as long as a condition is `True`.""")
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return
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@app.cell
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def _():
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def _count_up():
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_count = 0
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while _count < 5:
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print(f"Count is {_count}")
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_count += 1
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_count_up()
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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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## Loop Control Statements
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Python provides several ways to control loop execution:
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- `break`: Exit the loop immediately
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- `continue`: Skip to the next iteration
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- `else`: Execute when loop completes normally
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""")
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return
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@app.cell
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def _():
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def _demonstrate_break():
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for _i in range(1, 6):
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if _i == 4:
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break
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print(_i)
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print("Loop ended early!")
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_demonstrate_break()
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return
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@app.cell
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def _():
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def _demonstrate_continue():
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for _i in range(1, 6):
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if _i == 3:
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continue
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print(_i)
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_demonstrate_continue()
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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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+
## Practical Loop Patterns
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Here are some common patterns you'll use with loops:
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```python
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# Pattern 1: Accumulator
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sum = 0
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for num in [1, 2, 3, 4, 5]:
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sum += num
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# Pattern 2: Search
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found = False
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for item in items:
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if condition:
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found = True
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break
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# Pattern 3: Filter
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filtered = []
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for item in items:
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if condition:
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filtered.append(item)
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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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callout_text = mo.md("""
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205 |
+
## Loop Like a Pro!
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206 |
+
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207 |
+
Next Steps:
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208 |
+
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209 |
+
- Practice using different types of loops
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210 |
+
- Experiment with loop control statements
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211 |
+
- Try combining loops with lists and conditions
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212 |
+
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213 |
+
Keep iterating! 🔄✨
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""")
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mo.callout(callout_text, kind="success")
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return (callout_text,)
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+
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+
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220 |
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if __name__ == "__main__":
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app.run()
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