Day #10: Tree of Knowledge: Roots of Binary Wisdom 🌳🧩
Today we delved into the world of Binary Search Trees, implementing a robust BST data structure while strengthening our testing practices. The code changes from this session can be found here. Day 10 Summary Overview Implemented a comprehensive Binary Search Tree data structure with proper testing methodology, covering core tree operations and utility methods. Environment & Tools JUnit 5 for testing framework Proper test organization with @DisplayName annotations Clean separation of test and implementation code Concepts Covered Binary Search Tree Implementation Generic type support with Comparable constraint Core BST properties and invariants Node structure and relationships Recursive tree operations Tree Operations Insertion maintaining BST property Deletion handling all cases (leaf, one child, two children) Three types of traversals (in-order, pre-order, post-order) Search/contains operation Utility Methods Size calculation Tree height computation Min/max value finding BST property validation Testing Practices Clean test organization Descriptive test naming Test isolation with @BeforeEach Edge case coverage Implementation Progress Created complete BST implementation Added comprehensive traversal methods Implemented utility operations Established proper test suite Key Takeaways BST provides efficient searching and ordering Recursive solutions for tree operations Importance of maintaining BST invariants Value of proper test organization Benefits of descriptive test naming Next Steps Ready to explore: ...