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Array programming in Uiua language: compact data transformations

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Listing period9 daysuntil 21.11.2026
Posted23.08.2026
Views12713 in 14 days

About the service

I develop programs in Uiua — a stack-based array language combining APL-like array programming with a concatenative, point-free stack model. If you have a data transformation, numerical procedure or tangled array reshaping task, and you want to express it in a dozen dense provable glyphs instead of hundreds of lines, — that's exactly what I do every day. I think in ranks, cells and rows: folds, scans, tables, row traversal, partitions and grouping are as natural to me as nested loops to other developers, and I keep the stack readable so the next person can actually understand it. What I typically deliver: migrating pipelines from Python, R or NumPy to Uiua with orders of magnitude source reduction; writing point-free combinators and custom modifiers; parsing and pivoting tabular data; implementing kernels for signals, statistics and linear algebra; turning prototypes into small, well-commented modules with example inputs and expected outputs. I also enjoy the competitive side: golf problems, squeezing an expression to its shortest honest form and explaining the array-oriented logic of each step so the team learns the idioms rather than copying magic. Each delivery comes with a short walkthrough, stack effect annotations and a tiny test suite so you can verify the result yourself. Clarity matters to me as much as brevity: compact code nobody understands is a liability, not an asset. Send me the input data, expected outputs and performance constraints — I'll return Uiua code: short, tested and documented.

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Max K.Applied programming
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