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Add interactive notebook for Python dictionaries with examples and operations
Browse files- Python/phase_3/dictionaries.py +254 -0
Python/phase_3/dictionaries.py
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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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# 📚 Python Dictionaries
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Welcome to the world of Python dictionaries — where data gets organized with keys!
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## Creating Dictionaries
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Dictionaries are collections of key-value pairs. Here's how to create them:
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```python
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simple_dict = {"name": "Alice", "age": 25} # direct creation
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empty_dict = dict() # empty dictionary
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from_pairs = dict([("a", 1), ("b", 2)]) # from key-value pairs
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```
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Below is a sample dictionary we'll use to explore operations.
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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_dict = {
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"name": "Python",
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"type": "programming language",
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"year": 1991,
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"creator": "Guido van Rossum",
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"is_awesome": True
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}
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return (sample_dict,)
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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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## Basic Dictionary Operations
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Let's explore how to work with dictionaries.
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Try modifying the `sample_dict` above and watch how the results change!
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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_dict):
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# Accessing values of the dictionary
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def access_dict():
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print(f"Name: {sample_dict['name']}")
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print(f"Year: {sample_dict['year']}")
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access_dict()
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return (access_dict,)
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@app.cell
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def _(sample_dict):
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# Safe access with get()
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def safe_access():
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print(f"Version: {sample_dict.get('version', 'Not specified')}")
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print(f"Type: {sample_dict.get('type', 'Unknown')}")
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safe_access()
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return (safe_access,)
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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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## Dictionary Methods
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Python dictionaries come with powerful built-in methods:
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""")
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return
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@app.cell
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def _(sample_dict):
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# Viewing dictionary components
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def view_components():
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print("Keys:", list(sample_dict.keys()))
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print("Values:", list(sample_dict.values()))
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print("Items:", list(sample_dict.items()))
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view_components()
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return (view_components,)
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@app.cell
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def _():
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# Modifying dictionaries
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def demonstrate_modification():
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_dict = {"a": 1, "b": 2}
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print("Original:", _dict)
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# Adding/updating
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_dict.update({"c": 3, "b": 22})
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print("After update:", _dict)
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# Removing
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_removed = _dict.pop("b")
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print(f"Removed {_removed}, Now:", _dict)
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demonstrate_modification()
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return (demonstrate_modification,)
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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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## Dictionary Comprehension
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Create dictionaries efficiently with dictionary comprehensions:
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""")
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return
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@app.cell
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def _():
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# Dictionary comprehension examples
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def demonstrate_comprehension():
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# Squares dictionary
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_squares = {x: x**2 for x in range(5)}
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print("Squares:", _squares)
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# Filtered dictionary
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_even_squares = {x: x**2 for x in range(5) if x % 2 == 0}
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print("Even squares:", _even_squares)
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demonstrate_comprehension()
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return (demonstrate_comprehension,)
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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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## Nested Dictionaries
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Dictionaries can contain other dictionaries, creating complex data structures:
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""")
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return
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@app.cell
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def _():
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nested_data = {
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"users": {
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"alice": {
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"age": 25,
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"email": "[email protected]",
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"interests": ["python", "data science"]
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},
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"bob": {
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"age": 30,
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"email": "[email protected]",
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"interests": ["web dev", "gaming"]
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}
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}
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}
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return (nested_data,)
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@app.cell
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def _(nested_data):
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# Accessing nested data
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def access_nested():
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print("Alice's age:", nested_data["users"]["alice"]["age"])
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print("Bob's interests:", nested_data["users"]["bob"]["interests"])
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# Safe nested access
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def _get_nested(data, *keys, default=None):
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_current = data
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for _key in keys:
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if isinstance(_current, dict):
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_current = _current.get(_key, default)
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else:
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return default
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return _current
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print("\nSafe access example:")
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print("Charlie's age:", _get_nested(nested_data, "users", "charlie", "age", default="Not found"))
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access_nested()
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return (access_nested,)
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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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## Common Dictionary Patterns
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Here are some useful patterns when working with dictionaries:
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```python
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# Pattern 1: Counting items
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counter = {}
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for item in items:
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counter[item] = counter.get(item, 0) + 1
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# Pattern 2: Grouping data
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groups = {}
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for item in _items:
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key = get_group_key(item)
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groups.setdefault(key, []).append(item)
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# Pattern 3: Caching/Memoization
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cache = {}
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def expensive_function(arg):
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if arg not in cache:
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cache[arg] = compute_result(arg)
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return cache[arg]
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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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## Master the Dictionary!
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Next Steps:
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- Practice different dictionary methods
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- Try creating nested data structures
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- Experiment with dictionary comprehensions
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- Build something using common patterns
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Keep organizing your data! 🗂️✨
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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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if __name__ == "__main__":
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app.run()
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