<ul data-eligibleForWebStory="true"><li>Arrays are basic data structures stored contiguously in memory, including static (fixed size, type) and dynamic arrays (with flexibility).</li><li>Key operations for static arrays: Reading (O(1)), Traversing (O(n)), Insertion/Deletion at End, and in the Middle (both O(n)).</li><li>Dynamic arrays (like in Python, JavaScript) grow dynamically by creating new arrays when reaching capacity.</li><li>Reading from an array (accessing by index) is O(1), while inserting at an arbitrary index is O(n).</li><li>Appending (end insertion) is O(1), while inserting at arbitrary index requires shifting (O(n)).</li><li>Deleting from the end is O(1), while deleting from an arbitrary index is O(n).</li><li>Array traversal methods include for and while loops, and matrix traversal involves nested loops.</li><li>Python list essentials like list comprehensions and slicing are explained with examples.</li><li>Common list methods (append, insert, pop, remove, sort, reverse) are outlined with their time complexities.</li><li>Interview tricks & patterns like Binary Search, List Copy vs. Reference, and Sliding Window Pattern are provided.</li></ul>

What I Learned About Arrays While Grinding NeetCode 150

Discover more