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 ...

Algebraic data types are also useful for modeling ad-hoc versions of general purpose data structures. The popular class Optional could be modeled as an algebraic data type: ...

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 ...

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 ...

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.

Programming languages all come with a variety of data structures, each suited to specific kinds of jobs. Among the data structures built into Python, the dictionary, or Python dict, stands out.