Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...

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, ...

Programming C without variables is like, well, programming C without variables. They are so essential to the language that it doesn’t even require an analogy here. We can declare and use them as ...

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 search ...

Technical Introduction The proliferation of heterogenous computing and associated complexity of multiple vendor hardware offerings introduces a combinatorial explosion in platform diversity. From the ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

Learn how Python's dictionary data structure works as a powerful and versatile way to store and retrieve objects and data in your applications. Programming languages all come with a variety of data ...

A filesystem is a fundamental component of any operating system. It is the system that manages how data is stored and retrieved on a storage device. In the world of Linux, filesystems play a crucial ...