Project overview
In this project, you’ll assume the role of a Python developer tasked with creating a key-value database. You’ll adapt the B-tree data structure to implement an efficient, easy-to-use data store that supports range queries and dictionary-like syntax.
Throughout the project, you’ll apply object-oriented programming principles to extend a B-tree implementation, overriding and enhancing methods to create a fully functional database. You’ll write tests to ensure the accuracy and performance of your implementation. This hands-on experience will deepen your understanding of data structures and their real-world applications.
Objective: Implement a key-value database using B-trees in Python, with support for range queries, to build an efficient and user-friendly data store.
Key skill required
To complete this project, it's recommended to build these foundational skills in Python
- Implementing recursion to traverse tree data structures
- Differentiating between types of tree data structures
- Implementing operations and algorithms for tree data structures
- Selecting appropriate tree data structures to optimize performance
Projects steps
Step 1: Motivation for a Key-Value Store
Step 2: Project Outline
Step 3: Importing and Initializing
Step 4: Overriding the Add Method
Step 5: Testing
Step 6: Implementing the Item Getter and Setter
Step 7: Testing Getter and Setter
Step 8: Enhancing the Contains Method
Step 9: Testing the In Operator
Step 10: Range Queries
Step 11: Random Tests
Step 12: Performance Testing
Step 13: Next Steps
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