5 Python list behaviors that trip up developers in coding interviews

Python lists are among the first data structures developers learn, yet they remain a common source of errors in technical interviews and real-world coding. Key pitfalls include shallow copies sharing references to inner objects, the multiplication operator creating duplicate references rather than independent lists, and list.sort() returning None instead of a sorted list. Modifying a list while iterating over it can also cause elements to be silently skipped due to index shifting. Safer alternatives such as copy.deepcopy(), list comprehensions, and the built-in sorted() function help avoid these subtle bugs.