Code:
from functools import reduce nums = [1, 2, 3, 4] result = reduce( lambda x, y: x * y, nums ) print(result)
Explanation:
๐น 1. Importing reduce
from functools import reduce
✅ Explanation
reduce() is imported from Python's functools module.
It is used to reduce an entire iterable (list, tuple, etc.) into a single value.
It repeatedly applies a function to two values until only one value remains.
Think of reduce() like a machine that combines many values into one final result.
1 2 3 4
│ │ │ │
└──► Combine ◄──┘
│
▼
One Final Answer
๐น 2. Creating the List
nums = [1, 2, 3, 4]
✅ Explanation
A list named nums is created.
Current list:
[1, 2, 3, 4]
Memory:
nums
│
▼
[1, 2, 3, 4]
๐น 3. Calling reduce()
result = reduce(
✅ Explanation
reduce() starts processing the list.
Syntax:
reduce(function, iterable)
Here,
Function → lambda x, y: x * y
Iterable → nums
Its goal is to multiply all numbers and return one final value.
๐น 4. Understanding the Lambda Function
lambda x, y: x * y
✅ Explanation
This anonymous function takes two values and returns their product.
Equivalent normal function:
def multiply(x, y):
return x * y
Every time reduce() needs to combine two values, it calls this function.
๐น 5. First Iteration
Initially:
[1, 2, 3, 4]
Python picks the first two values.
x = 1
y = 2
Calculation:
1 * 2
Result:
2
Now Python replaces 1 and 2 with the result.
Remaining calculation becomes:
2, 3, 4
Visual:
1 × 2
↓
2
New Sequence
[2,3,4]
๐น 6. Second Iteration
Current sequence:
[2,3,4]
Python picks:
x = 2
y = 3
Calculation:
2 * 3
Result:
6
Updated sequence:
[6,4]
Visual:
2 × 3
↓
6
New Sequence
[6,4]
๐น 7. Third Iteration
Current sequence:
[6,4]
Python picks:
x = 6
y = 4
Calculation:
6 * 4
Result:
24
Only one value remains.
Final result:
24
Visual:
6 × 4
↓
24
๐น 8. Storing the Result
result = 24
Current memory:
result
↓
24
๐น 9. Printing the Result
print(result)
✅ Explanation
Python prints the final value stored in result.
Output:
24
๐ฏ Final Output
24

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