• 2025.06.06 in #724 The Weekly Challenge 324
  The solutions exemplify idiomatic Perl programming, showcasing the language's strengths in concise and expressive code. The post is informative and demonstrates a deep understanding of Perl's capabilities, making it a valuable resource for programmers seeking elegant solutions to common challenges.
• 2025.06.12 in #725 the weekly challenge 325 task 1
  It demonstrates Perl at its most elegant and expressive. It achieves maximum density of Perl idioms without sacrificing readability
• 2025.06.15 in #725 the weekly challenge 325 task 2
  Achieves maximum effect with minimum code through Python's unique features. It proves good algorithms can be elegantly expressed in any language.
• 2025.06.19 in #726 The weekly challenge 326
  Solutions are notable for their clarity and efficiency, demonstrating a deep understanding of Python's capabilities. Exploration of both standard library functions and mathematical approaches provides valuable insights for Python enthusiasts.
• 2025.06.29 in #727 The weekly challenge 327
  This post is a well-written, thoughtful exploration of two classic array problems, each solved elegantly in both Python and Perl, with a particular focus on bitarray usage and iteration techniques.
• 2025.07.01 in #728 In case of doubt, use a regex
  A refreshing, regex-focused take on the problem that highlights Perl’s flexibility. Great for regex enthusiasts and those exploring unconventional solutions.
• 2025.07.04 in #728 Property is Theft, Theft is Good
  A clever, well-explained solution with a touch of humor. Perfect for those interested in optimization tricks and Perl’s practical elegance.
• 2025.07.07 in #729 Y Translate?
  A clean, polished walkthrough demonstrating idiomatic solutions with attention to detail—particularly in normalization and edge-case handling. Well written and focused, with practical depth.
• 2025.07.07 in #729 Not a Nice Problem to Have
  An insightful, advanced and enjoyable read—ideal for those who appreciate both performance-aware coding and elegant problem-solving.
• 2025.07.20 in #730 Specifications, Ambiguity, Contradiction
  Goes beyond coding to dissect problem ambiguities, rare in challenge solutions. Provides multiple implementations to handle edge cases.
• 2025.12.15 in #752 Not So Loopy Digits
  This solution demonstrates expert-level understanding of formal language theory and automata. This is PhD-level computer science applied to a coding challenge.
• 2026.02.05 in #759 Return to Sender
  This article compares three elegant methods for the string reduction problem. The methods are presented in three different programming languages: Perl (using regular expressions), Python (using recursive regular expressions), and Go (using a stack-based algorithm). Each method has been chosen to demonstrate the strengths of the respective programming language.
• 2026.02.08 in #759 I Contain Multitudes
  In this article, you can find an excellent and easily read comparison of how each of Go, Python and Perl treats returning multiple values from a function, with good examples for each and some commentary on why certain designs are idiomatically preferred in each language, as well as why to use a structured return (structure, tuple, etc.) instead of returning the multiple values returned naked. Overall, this article is a very technically sound and informative read for anyone interested in designing a function across different languages.

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