PYTHON PROGRAM • FUNCTIONS & RECURSION

Add Function Type Annotations in Python

Learn add function type annotations in python with a short, executable Python example.

BeginnerType annotationsFunction

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
10.0

COMPLETE PYTHON PROGRAM

Complete Python implementation

python-function-annotations.py
Open in compiler
def area(length: float, width: float) -> float:
    return length * width

print(area(4.0, 2.5))

GUIDED CODE TOUR • NOT LIVE EXECUTION

Study the program line by line

Use the real compiler button above to run and debug with different inputs.

CURRENT STEP

Select Start to walk through the important lines.

SELECTED LINE

No line selected

EXPECTED OUTPUT FOR THE SAMPLE

10.0
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Initialize the sample values used to add function type annotations.
  2. Apply Type annotations and Function to compute the required result.
  3. Display the result for add function type annotations and compare it with the documented sample output.

This example of add function type annotations computes the result directly from the prepared sample data. It demonstrates Type annotations and Function and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(1)

Auxiliary space

O(1)

DEBUGGING CHECKLIST

Common mistakes

Check this

For add function type annotations, keep the data shape and value types consistent with Type annotations.

Check this

Keep every dependent statement inside the correct indented Python block.

Check this

Verify the final Type annotations and Function result against the sample before trying new data.

Try it yourself

Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.