Python Data Structures & Algorithms + LEETCODE Exercises

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A screenshot of a Python coding interface displaying the implementation of Node and LinkedList constructors with syntax highlighting, alongside a sidebar listing various linkedlist — Preview 1 of 4
This image shows a Python coding environment where students implement Node and LinkedList constructors, demonstrating the practical application of data structure concepts.

A diagram of a linked list with nodes 18, 21, 27, and 44 connected by arrows, labeled head and tail, alongside Python code showing self.tail.next = new_node. — Preview 2 of 4
This visual aid demonstrates how to append a new node to the end of a linked list by updating the tail pointer in Python.

A presentation slide titled DATA STRUCTURES listing topics like Linked Lists, Stacks & Queues, Binary Search Trees, Hash Tables, and Graphs, accompanied by a diagram of a graph. — Preview 3 of 4
This slide outlines key data structures including linked lists, stacks, queues, binary search trees, hash tables, and graphs, illustrated with a sample network diagram.

A dark slide listing sorting algorithms including Bubble, Selection, Insertion, Merge, and Quick Sort next to a green bar chart with six ascending bars. — Preview 4 of 4
This educational slide lists fundamental sorting algorithms like Bubble and Quick Sort alongside a visual bar chart representation of data.