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003_collections.py
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# /// script
# requires-python = ">=3.10"
# dependencies = [
# "marimo",
# ]
# ///
import marimo
__generated_with = "0.10.19"
app = marimo.App(width="medium")
@app.cell(hide_code=True)
def _(mo):
mo.md(
"""
# 📦 Collections
A "collection" is a type of variable that holds multiple values.
## Lists
Lists are ordered, mutable sequences. Create them using square brackets:
```python
fruits = ["apple", "banana", "orange"]
numbers = [1, 2, 3, 4, 5]
mixed = [1, "hello", 3.14, True]
```
Below is an example list we'll use to explore operations.
"""
)
return
@app.cell
def _():
sample_list = [1, 2, 3, 4, 5]
return (sample_list,)
@app.cell(hide_code=True)
def _(mo):
mo.md(
"""
## List operations
Here are common operations you can perform on lists.
Try changing the values in `sample_list` above and watch the results change.
"""
)
return
@app.cell
def _(sample_list):
len(sample_list) # List length
return
@app.cell
def _(sample_list):
extended_list = sample_list + [6] # Concatenate two lists
extended_list
return (extended_list,)
@app.cell
def _(extended_list):
extended_list[0] # Access first element
return
@app.cell
def _(extended_list):
extended_list[-1] # Access last element
return
@app.cell(hide_code=True)
def _(mo):
mo.md(
"""
## Tuples
Tuples are immutable sequences. They're like lists that can't be changed after creation:
"""
)
return
@app.cell
def _():
coordinates = (10, 20)
return (coordinates,)
@app.cell
def _(coordinates):
x, y = coordinates # Tuple unpacking
x
return x, y
@app.cell(hide_code=True)
def _(mo):
mo.md("""#### Tuple concatenation""")
return
@app.cell
def _():
tuple1 = (1, 2, 3)
tuple2 = (4, 5, 6)
tuple3 = tuple1 + tuple2
tuple3
return tuple1, tuple2, tuple3
@app.cell(hide_code=True)
def _(mo):
mo.md(
"""
## Dictionaries
Dictionaries store key-value pairs. They're perfect for mapping relationships:
"""
)
return
@app.cell
def _():
person = {"name": "John Doe", "age": 25, "city": "New York"}
return (person,)
@app.cell
def _(person):
person["name"] # Access value by key
return
@app.cell
def _(person):
person.keys() # Get all keys
return
@app.cell
def _(person):
person.values() # Get all values
return
@app.cell(hide_code=True)
def _(mo):
mo.md(
"""
## Sets
Sets are unordered collections of unique elements:
"""
)
return
@app.cell
def _():
numbers_set = {1, 2, 3, 3, 2, 1} # Duplicates are removed
return (numbers_set,)
@app.cell
def _(numbers_set):
numbers_set | {4} # Add a new element
return
@app.cell
def _():
{1, 2, 3} & {3, 4, 5} # Find common elements
return
@app.cell(hide_code=True)
def _(mo):
mo.md(
"""
## Collection methods and operations
Here are some common operations across collections:
```python
# Lists
my_list = [1, 2, 3]
my_list.insert(0, 0) # Insert at position
my_list.remove(2) # Remove first occurrence
my_list.sort() # Sort in place
sorted_list = sorted(my_list) # Return new sorted list
# Dictionaries
my_dict = {"a": 1}
my_dict.update({"b": 2}) # Add new key-value pairs
my_dict.get("c", "Not found") # Safe access with default
# Sets
set_a = {1, 2, 3}
set_b = {3, 4, 5}
set_a.union(set_b) # Combine sets
set_a.difference(set_b) # Elements in A but not in B
```
"""
)
return
@app.cell(hide_code=True)
def _(mo):
mo.md(
r"""
## Documentation
See the official [Python tutorial on data structures](https://docs.python.org/3/tutorial/datastructures.html) for more in-depth information.
"""
)
return
@app.cell
def _():
import marimo as mo
return (mo,)
if __name__ == "__main__":
app.run()