Python Data Structure: List

Key Operations and Their Time Complexity

Limitations of Lists

While lists are powerful and versatile, they can become inefficient in specific scenarios:

1. Frequent Deletions from the Middle: Each deletion requires shifting subsequent elements, which can be costly as the list grows.

2. Frequent Searches for Specific Elements: Linear search (O(n)) can slow performance as the list size increases.

Understanding these limitations is crucial for selecting the appropriate data structure for your application.

Lists are one of the most straightforward and versatile data structures in Python. They are dynamic, allowing for efficient element insertion, deletion, and retrieval.