Python Data Structures Practice Problems

Python Data Structures Practice Problems page covers essential structures, from lists and dictionaries to advanced ones like sets, heaps, and deques. These exercises help build a strong foundation for managing data efficiently and solving real-world programming challenges.

Data Structures Overview

• Lists – Ordered, mutable collections that allow duplicate values and support indexing.
• Strings – Immutable sequences of characters used for text processing.
• Tuples – Ordered, immutable sequences used for fixed data storage.
• Dictionaries – Key-value pairs for fast lookups and efficient data mapping.
• Sets – Unordered collections of unique elements for fast membership checks.
• Heaps – Specialized tree-based structures for efficient priority queue operations.
• Deques – Double-ended queues that allow fast insertions and deletions from both ends.

Data Structures Practice Questions

Here's the list of pages which contains curated list of practice problems on each data structure:

• Lists Practice
• String Practice
• Dictionary Practice
• Set Practice
• Heap Practice
• Dequeue Practice

Data Structures Quiz

• List
• String
• Tuples
• Dictionary
• Set
• Heap
• Dequeue