ПостIf you work with Python, remember a simple rule: do not modify a list while iterating over it. 🐍🛑 This can lead to unexp…

If you work with Python, remember a simple rule: do not modify a list while iterating over it. 🐍🛑 This can lead to unexpected results because the iterator does not track structural changes. Here is an example that looks logical but works incorrectly: 🤔 items = [1, 2, 2, 3, 4] for item in items:     if item == 2:         items.remove(item) print(items) # Output: [1, 2, 3, 4] It seems that all 2s should disappear, but one remains. ❓ Why? After removing an element, the list shifts, but the loop moves on — as a result, some values are simply skipped. 🔄🚫 How to do it correctly — iterate over a copy: ✅ for item in items[:]:     if item == 2:           items.remove(item) print(items) # Output: [1, 3, 4] Even better — use list comprehension: 🚀 items = [x for x in items if x != 2] Conclusion: 🏁 do not modify a collection during iteration. This can lead to skipped elements, duplication, or even errors during execution. 🛠️🚧 #Python #Coding #Programming #Debugging #TechTips #PythonTips