Python Data Structures Cheatsheet

You will find:

1. Lists: Learn how to manipulate lists efficiently, including slicing, appending, and sorting.
2. Tuples: Understand the immutability of tuples and how they differ from lists.
3. Dictionaries: Master key-value pairs, dictionary methods, and efficient ways to iterate over dictionaries.
4. Sets: Explore the unique features of sets, such as set operations and removing duplicates.
5. Arrays: Discover how to work with arrays efficiently, including creation, manipulation, and conversion.
6. Stacks: Understand the LIFO (Last In, First Out) principle and implement stacks using lists or deque.
7. Queues: Learn about FIFO (First In, First Out) queues and how to implement them using lists or deque.
8. Linked Lists: Explore the concept of linked lists, their advantages, and implementation in Python.
9. Binary Trees: Understand binary tree traversal techniques and basic operations like insertion and deletion.
10. Heaps: Master heap operations such as heapify, insertion, and extraction of minimum or maximum elements.
11. Graphs: Dive into graph representation, traversal algorithms like DFS and BFS, and practical applications.