Python: How to handle loop iteration with complex data structures without working with KeyError?
I'm trying to figure out I'm testing a new approach and I'm collaborating on a project where I keep running into I'm working on a Python script that processes a nested dictionary structure, and I'm working with a `KeyError` when iterating through it... The structure looks something like this: ```python nested_data = { 'item1': {'value': 10, 'tags': ['a', 'b']}, 'item2': {'value': 20, 'tags': ['c']}, 'item3': {'value': 30} } ``` The goal is to iterate through each item, retrieve the 'tags' if they exist, and print them. However, I'm getting a `KeyError` when I try to access `tags` for `item3` which doesn't contain this key. Here's the code I wrote: ```python for item, data in nested_data.items(): print(f'Item: {item}') print(f'Value: {data.get("value")}') print(f'Tags: {data["tags"]}') # This line raises KeyError for item3 ``` I tried using `data.get("tags")`, but it returns `None`, which is not what I want. I want to skip printing the 'tags' line entirely if they don't exist for that item. Is there a clean way to achieve this without cluttering the code with multiple checks? I also want to keep my code readable and maintainable. Any suggestions on best practices for handling such cases in Python? I'm coming from a different tech stack and learning Python. Is there a better approach? I appreciate any insights! I'm developing on Ubuntu 20.04 with Python. Could this be a known issue? I'm working on a desktop app that needs to handle this. Is there a simpler solution I'm overlooking? My development environment is Linux. Any pointers in the right direction?