The Python B-Trees project is a comprehensive implementation of the B-Trees data structure, developed to showcase my proficiency in Python, data structures, and algorithms. B-Trees are self-balancing tree structures that provide efficient operations for indexing and searching large amounts of data for disk storage.
Please note that the code in this repository is intended for demonstration purposes only and should not be used for any other purpose.
B-Tree Construction: The project provides a robust implementation of the B-Trees data structure, including methods for creating and initializing a B-Tree with custom order.
Insertion and Deletion: Efficient insertion and deletion operations are implemented, ensuring that the B-Tree maintains its balance and optimal performance even with dynamic data.
Search and Retrieval: The project provides methods for searching and retrieving elements from the B-Tree, allowing for fast and accurate searches based on the keys.
Range Queries: The B-Trees implementation supports range queries, enabling efficient retrieval of elements within a given key range.
Split and Merge Operations: The project includes split and merge operations, which are crucial for maintaining the balanced structure of the B-Tree.
To get started with the Python B-Trees project, use the following import statements
from py_btrees.disk import DISK from py_btrees.btree import BTree from py_btrees.btree_node import BTreeNode, get_node
A sample initiation of a BTree object and addition of several integer indexes is shown below
M = 5 L = 3 btree = BTree(M, L) for i in range(100): btree.insert(i, str(i))
Please note that the code in this repository is provided solely for demonstration purposes and should not be used for any other purpose.
If you encounter any issues or bugs during your exploration of the repository, please open an issue, and I'll do my best to address it.