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.

Data structures and algorithms aren’t just academic buzzwords — they’re the secret sauce behind efficient, scalable, and elegant code. From arrays to graphs, and sorting to dynamic programming, these ...

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 ...