Code Explanation:
๐น 1. Importing the inspect Module
import inspect
Explanation
inspect is a built-in Python module.
It is used to examine objects such as functions, classes, methods, and their parameters.
Here, we will use it to inspect the calculate() function.
๐น 2. Defining the Function
def calculate(a, b=10, *args, **kwargs):
Explanation
A function named calculate is created with four parameters:
a
b
*args
**kwargs
Their meanings are:
a → normal required parameter
b=10 → parameter with a default value
*args → accepts additional positional arguments
**kwargs → accepts additional keyword arguments
So Python internally sees the parameter order as:
0 → a
1 → b
2 → args
3 → kwargs
๐น 3. Function Body
pass
Explanation
pass means do nothing.
The function doesn't need to perform any calculation for this example.
We are interested only in its parameter information.
๐น 4. Inspecting the Function Signature
sig = inspect.signature(calculate)
Explanation
inspect.signature() examines the function and returns its signature.
For this function, the signature is essentially:
(a, b=10, *args, **kwargs)
The result is stored in:
sig
๐น 5. Accessing the Parameters
sig.parameters
Explanation
sig.parameters contains the function's parameters in their original order.
Conceptually:
{
'a': ...,
'b': ...,
'args': ...,
'kwargs': ...
}
It behaves like an ordered mapping.
๐น 6. Converting Parameters to a List
list(sig.parameters)
Explanation
When we convert it to a list, we get the parameter names:
['a', 'b', 'args', 'kwargs']
Notice that we get the names, not their values.
๐น 7. Accessing Index 1
list(sig.parameters)[1]
Explanation
Python uses zero-based indexing.
So:
Index 0 → a
Index 1 → b
Index 2 → args
Index 3 → kwargs
Therefore:
list(sig.parameters)[1]
returns:
b
๐น 8. Printing the Result
print(list(sig.parameters)[1])
Explanation
The second parameter name is printed.
✅ Output
b

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