Unexpected behavior with nested loops in Python when modifying a list
I'm confused about I'm not sure how to approach I've spent hours debugging this and I'm facing a puzzling issue with nested loops in Python, specifically when modifying a list while iterating over it. I have a list of dictionaries that I need to filter based on certain conditions, but when I use a nested loop to process each item, it seems like the loop is skipping some elements unexpectedly. Here's a simplified version of my code: ```python items = [ {'id': 1, 'value': 10}, {'id': 2, 'value': 20}, {'id': 3, 'value': 30}, {'id': 4, 'value': 40}, {'id': 5, 'value': 50}, ] for item in items: if item['value'] > 30: items.remove(item) # Attempting to remove items while iterating for sub_item in items: print(sub_item) ``` I expected the loop to print remaining items after filtering, but it seems like some entries are skipped. For example, when `item['value'] > 30`, I thought it should remove that item and continue printing the rest, but I'm often seeing that the output doesn't include all the expected items. When I run this, I get the following output: ``` {'id': 1, 'value': 10} {'id': 2, 'value': 20} {'id': 4, 'value': 40} ``` It looks like the loop is skipping items because the list is being modified during iteration. I tried using a separate list to collect items to remove and then iterating over that, but I'd like to know the best practice for handling this without causing unintended side effects. Can anyone provide insights on how to properly manage such scenarios without running into these issues? I'm using Python 3.9.7. I recently upgraded to Python latest. What are your experiences with this? Thanks, I really appreciate it!