Computer Programming
17,023 learners
Understanding 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.
Python
See path
7 lessons
23 practices
3 hours
Badge for Computer Science Fundamentals,
Computer Science Fundamentals
Lessons and practices
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
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