```python
def nested_sum(lst):
total = 0
for num in lst:
if isinstance(num, list):
total += nested_sum(num)
else:
total += num
return total

lst = [1, 2, [3, 4, [5, 6], 7], 8]
result = nested_sum(lst)
print(result)
```

Question

```python
def nested_sum(lst):
    total = 0
    for num in lst:
        if isinstance(num, list):
            total += nested_sum(num)
        else:
            total += num
    return total

lst = [1, 2, [3, 4, [5, 6], 7], 8]
result = nested_sum(lst)
print(result)
```

Accepted Answer

### Code Structure Visualization using DOT notation

```dot
digraph code_structure {
    rankdir=TB;

subgraph cluster_0 {
        label="nested_sum() function";
        style=filled;
        color=lightgrey;
        
        start -> for_loop;
        for_loop -> check_instance;
        check_instance -> add_to_total_true;
        check_instance -> add_to_total_false;
        add_to_total_true -> nested_sum;
        add_to_total_false -> add_to_total_true;
        add_to_total_false -> add_to_total_false;
        nested_sum -> total;
        nested_sum -> return_total;
    }
    
    lst -> nested_sum;
    result -> nested_sum;
    result -> print;
}

```

### Key Points:
- The DOT notation illustrates the structure of the provided Python code.
- The visualization shows the flow within the `nested_sum()` function, including the recursive call to handle nested lists.
- The `isinstance()` check determines whether the element in the list is itself a list, triggering recursion.
- The graph captures the relationships between the variables and function calls in the code snippet.
- The final result calculated by the `nested_sum()` function is printed to the console.

Code Visualizer | Python

Code Structure Visualization with DOT Notation

Prompt

Answer

Code Structure Visualization using DOT notation

Key Points:

Description

More Code Visualizers

Creators

Debuggers

Visualizers

Advisors

tools

languages

skills

plans

Links