Characteristics of B-Trees
- Multiple Keys: Unlike traditional binary search trees, each node in a B-Tree can contain multiple keys, which allows the tree to have a larger branching factor and thus a shallower height.
- Balanced Tree: B-Trees maintain balance by ensuring that each node has a minimum number of keys, so the tree is always balanced.
- Efficiency: This balance guarantees that the time complexity for operations such as insertion, deletion, and searching is always O(log n), regardless of the initial shape of the tree.
- Properties: All leaves are at the same level. The number of children of a node is equal to the number of keys in it plus. All keys of a node are sorted in increasing order.
- Applications: B-Trees are particularly well suited for storage systems that have slow, bulky data access such as hard drives, flash memory, and CD-ROMs.
B Tree in Python
A B-tree is a self-balancing tree data structure that maintains sorted data and allows searches, sequential access, insertions, and deletions in logarithmic time.
B Tree in Python
Table of Content
- Characteristics of B-Trees
- Traversal of B-Tree in Python
- Search operation in B Tree in Python
- Insert operation in B Tree in Python
- Delete operation in B Tree in Python