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, ...

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.

Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful ...

Mathematical Background: We expect that the student is comfortable with basic mathematics at the level of a U.S. first-year college STEM student. This includes basic notions such as sets and functions ...

In the past two columns, we’ve looked at higher-order functions and talked a little bit about the power of functional programming. So far, the concepts we’ve covered do little to indicate how powerful ...

Python’s built-in data structures—like lists, tuples, sets, and dictionaries—are the backbone of efficient, readable, and scalable code. Knowing when and how to use each can drastically improve ...