Thinking in an array language (2022)

# Summary The article demonstrates how to write effective K programming code by showing the iterative simplification of a matrix multiplication algorithm. Rather than translating traditional imperative code directly into K, the author shows how to progressively refactor using K's array operations—eliminating nested loops, global variables, and redundant indexing—until arriving at a concise, declarative solution that leverages K's built-in operators like fold, eachright, and eachleft.