Raymond Hettinger 2/7/2010

Regaining Lost Knowledge

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The article analyzes approaches to efficiently compute a running median over a sliding data window in Python. It critiques solutions based on cleverness, education (like QuickSelect), and research (existing algorithms), ultimately detailing a novel, portable solution using an indexable skiplist for O(log n) performance, highlighting gaps in common programming knowledge.

Regaining Lost Knowledge

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