Mastering Algorithms and Data Structures in PythonUnderstanding and Using Trees in Python

This course is designed to provide a deep understanding of trees in Python with a specific focus on binary trees, binary search trees, and heaps. The course covers the BFS and DFS in non-binary trees to elaborate on the different traversal methods. It extensively draws attention to the use of tree data structures in solving complex interview problems.

Visualizing Web Browsing History as a Tree Structure

Amending the Company Hierarchy Tree

Adding a Node to a Binary Tree

Constructing a Binary Tree and Performing In-Order Traversal

Traversing the Company Hierarchy with DFS

Applying DFS to a Structured Planetary Hierarchy

Galactic Hierarchy: Restoring Cosmic Navigation

Implementing Depth-First Search in a Department Hierarchy

Creating a DFS Traversal of City Areas from Scratch

Exploring the World's Major Rainforests with BFS Traversal

Changing the Starting Position of BFS Traversal

Fixing the Flow of Command with BFS

Constructing a Royal Family Tree using Breadth-First Search

Implementing Breadth-First Search from scratch

Maintaining the MinHeap: Inserting and Deleting Nodes

Troubleshooting Spacecraft Queue Management

Adding and Removing Nodes in a MinHeap

Developing an Efficient Real-time Data Tracker in Python

Exploring Binary Search Tree Operations in Practice

Fixing the Interplanetary Ships Registry

Building and Traversing a Binary Search Tree

Calculating the Maximum Height Difference in Binary Search Tree Subtrees

Finding the Kth Largest Element in a Binary Search Tree