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 ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...

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, ...

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 ...

Today we’re going to talk about on how we organize the data we use on our devices. Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we ...

Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R. Among my colleagues, R is one of the fastest-growing programming languages.

Understanding the core principles of computer programming is the first step to writing effective code. Learning about ...