Hash Map vs Array vs Linked List for Lookup
📖 Scenario: Imagine you run a small library. You want to find books quickly by their ID numbers. You have three ways to store the books: a list (array), a linked list, and a hash map (dictionary). Each way works differently when you look for a book.
🎯 Goal: You will create three data structures to store book IDs and then write code to find a specific book ID in each structure. This will help you see which way is fastest for looking up books.
📋 What You'll Learn
Create a list called
book_list with book IDs 101, 102, 103, 104, 105Create a linked list with nodes holding book IDs 101, 102, 103, 104, 105
Create a dictionary called
book_map with keys as book IDs and values as book namesWrite a function
find_in_list(book_list, target) to find target in book_listWrite a function
find_in_linked_list(head, target) to find target in the linked listWrite a function
find_in_map(book_map, target) to find target in book_mapPrint the results of looking for book ID 103 in all three data structures
💡 Why This Matters
🌍 Real World
Libraries, stores, and apps often need to find items quickly. Choosing the right data structure helps make searches fast and easy.
💼 Career
Understanding how different data structures work for lookup is important for software developers, data engineers, and anyone working with data storage and retrieval.
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