Computing applications use many different types of data. Some applications model data within database systems, in which case the database system handles the details of choosing data structures, as ...

This tutorial launches a short series introducing data structures and algorithms. In Part 1, you’ll learn what a data structure is and how data structures are classified.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Brief Description of Course Content Studies data abstractions (e.g., stacks, queues, lists, trees) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm ...

These structures ensure data is stored, accessed, and maintained effectively. Key data structures in Linux filesystems include: Inodes: As discussed, they store metadata about files and directories.

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

Learn how Python's dictionary data structure works as a powerful and versatile way to store and retrieve objects and data in your applications.