Perhaps. I just never found it useful to spend a day learning the failure modes and edge cases of a general-purpose library I could hack into my use case with enough wrapper code handling the impedence mismatch when I could spend a day building exactly what we need, with the added benefit of owning the code when requirements inevitably change. Like, I'll use numpy at least half the time for numeric code; I'm not a masochist; but most libraries just don't pull their weight.
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Perhaps. I just never found it useful to spend a day learning the failure modes and edge cases of a general-purpose library I could hack into my use case with enough wrapper code handling the impedence mismatch when I could spend a day building exactly what we need, with the added benefit of owning the code when requirements inevitably change. Like, I'll use numpy at least half the time for numeric code; I'm not a masochist; but most libraries just don't pull their weight.