This course introduces data structures and algorithms, focusing on practical implementation in Python.

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Data structures and algorithms are essential in computer science since they play a crucial role in efficient information retrieval and processing, dealing with files, storing contacts on phones, social networks and web searches.

In this course, you’ll learn about the array-based implementation of various linear data structures, stack, and queues. You’ll also learn about linked list-based implementation. Next, you’ll explore advanced data structures like skiplists and hashing. You’ll learn how to implement a variety of trees and graphs, and data structures related to bits of an integer. Toward the end of the course, you’ll learn the implementation of structures based on external storage.

After completing this course, you’ll be able to create reusable programs with template-based collections that can efficiently analyze how to optimize the storage and retrieval of very large amounts of data. Overall, this course will enhance your productivity and performance as a software developer.

Data Structures with Generic Types in Python

## Searching

The implementation of the `find(x)` operation, which is illustrated below generalizes the `find(x)` operation in a binary search tree. The search for `x` starts at the root and uses the keys stored at a node, `u`, to determine in which of `u`’s children the search should continue.

 A successful search is shown below (for the value $4$) and an unsuccessful search (for the value $16.5$) in a $B$-tree. Shaded nodes show where the value of $z$ is updated during the searches.

# Searching

The implementation of the `find(x)` operation, which is illustrated below generalizes the `find(x)` operation in a binary search tree. The search for `x` starts at the root and uses the keys stored at a node, `u`, to determine in which of `u`’s children the search should continue.

 A successful search is shown below (for the value $4$) and an unsuccessful search (for the value $16.5$) in a $B$-tree. Shaded nodes show where the value of $z$ is updated during the searches.

Learn about searching and addition in the B-trees.

Overview

Array-Based Lists

Linked Lists

Skiplists

Hash Tables

Binary Trees

Random Binary Search Trees

Scapegoat Trees

Red-Black Trees

Heaps

Sorting Algorithms

Graphs

Data Structures for Integers

External Memory Searching

Wrap Up

Searching and Addition in B-Tree

Searching