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Publish algorithms with testable code

In March 2023, Andrew Helwer wrote a thought-provoking article comparing Python with PlusCal & TLA+, while implementing a 45-year-old algorithm. Reflecting on his insights, I find myself resonating with much of what he shared. Indeed, when it comes to publishing algorithms, opting for an executable language over arbitrary pseudocode stands out as a superior choice. A quick recap from his article: Python made a very compelling case for itself here. The final algorithm, naive algorithm, and property-based testing code combined took up only 35 very readable lines!
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