Code Explanation:
๐น 1. Importing itemgetter
from operator import itemgetter
✅ Explanation
itemgetter is imported from Python's built-in operator module.
It creates a function that retrieves an item using an index or key.
It is commonly used for sorting, mapping, and fast indexing.
Think of it as an automatic index selector.
Sequence
│
▼
itemgetter(index)
│
▼
Return Item
Nothing executes yet.
๐น 2. Creating the Tuple
data = (
("Python", 100),
("Java", 90)
)
✅ Explanation
A tuple named data is created.
It contains two tuples.
Current Memory
data
Index
0 → ("Python", 100)
1 → ("Java", 90)
Visual Representation
data
│
├── 0 → ("Python",100)
│
└── 1 → ("Java",90)
๐น 3. Understanding the Inner Tuples
Each tuple stores two values.
("Python",100)
Index
0 → "Python"
1 → 100
and
("Java",90)
Index
0 → "Java"
1 → 90
So the structure is
data
↓
(
("Python",100),
("Java",90)
)
๐น 4. Creating the itemgetter
itemgetter(1)
✅ Explanation
itemgetter(1) creates a function.
This function always returns the element at index 1.
Internally it behaves almost like
def get_item(obj):
return obj[1]
Memory Representation
itemgetter(1)
↓
Function
↓
Pick Index 1
๐น 5. Calling the Function
itemgetter(1)(data)
✅ Explanation
Python passes the entire data tuple into the function.
Current Memory
data
↓
(
("Python",100),
("Java",90)
)
The function picks index 1.
Returned value
("Java",90)
Visual Flow
data
↓
itemgetter(1)
↓
("Java",90)
๐น 6. Accessing [0]
itemgetter(1)(data)[0]
✅ Explanation
The returned tuple is
("Java",90)
Now Python accesses index 0.
Tuple
Index
0 → "Java"
1 → 90
Returned value
Java
๐น 7. Printing the Result
print(itemgetter(1)(data)[0])
✅ Explanation
Python prints the extracted value.
Output
Java
๐ฏ Final Output
Java

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