Text Editor 💡 Project Highlights Data Structures in Action:
Implement foundational data structures like Linked Lists, Stacks, and Queues to handle text editing operations efficiently. Use Hash Maps for features like Find & Replace and Word Autocomplete. Explore Tries for efficient spell checking and search suggestions. Algorithmic Applications:
Implement search algorithms (e.g., KMP, Boyer-Moore) for efficient text search. Apply sorting algorithms for managing autocomplete suggestions. Optimize undo/redo operations using time complexity-efficient algorithms. Functional Features:
Basic text editing: Insert, delete, and modify text. Undo/Redo functionality to support user corrections. Find & Replace with regex support. Autocomplete and spell checker with context-aware suggestions. 🛠️ Tech Stack Programming Language: Python/Java/C++ (Choose one for implementation) Core Libraries: Custom implementations of data structures. Testing Framework: Unit tests for validating the efficiency and correctness of operations. 🚀 Project Goals Deep Dive into Core Concepts: Reinforce your understanding of data structures and algorithms by applying them in a practical setting. Performance Optimization: Learn to write efficient, optimized code for operations with low time and space complexity. Real-World Problem Solving: Simulate the complexities of modern software systems like text editors. 📚 Learning Outcomes Gain a solid grasp of algorithm design and problem-solving strategies. Master the implementation of advanced data structures in real-world applications. Build a portfolio-worthy project that showcases your expertise in software engineering fundamentals.