An upgrade needs a compatibility check, a tested release and a recovery path. Which changes deserve particular attention before the new version reaches production?

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Tasadduq BurneyownerOwner · Founder

26525 reputation · 08 May 2023, 17:32 UTC

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Check release notes for dtype, API and binary-compatibility changes. Rebuild or upgrade compiled extensions as required and compare numerical outputs within justified tolerances. Include edge cases such as empty arrays, overflow and non-finite values in compatibility checks.

How should I approach a NumPy upgrade?

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