I'm going to go out on a limb and guess that the number of people who have tried python is probably far more than 100,000 times the number of people who have tried plan 9, otherwise the provided statistic wouldn't make any sense.

On 10/5/26 12:33, ron minnich wrote:
re this quote: "Python 2.5.1 used to be included with the 9front distribution, not because anyone loved Python, but because it was required by Mercurial (also loved by no one), which was required by Google Code (which shut down in 2015). An abject lesson in expediency."

Based on usage statistics, the number of people who love python is at least 100,000 times larger than the number of people who love plan 9. Same for mercurial: the number of *companies* using mercurial is roughly 100 times larger than the number of *people* using Plan 9. In terms of users, mercurial likely has 100,000 times as many users as Plan 9.

So, perhaps that quote can be taken with a grain of salt.

On Mon, Oct 5, 2026 at 8:46 AM <[email protected]> wrote:

    I happened to find myself exploring this page:
    https://fqa.9front.org/appendixl.html, (..somewhat painful, ROFL,
    with my hard floors with nails sticking through them..) and came
    upon this:

    "Python 2.5.1 used to be included with the 9front distribution,
    not because anyone loved Python, but because it was required by
    Mercurial (also loved by no one), which was required by Google
    Code (which shut down in 2015). An abject lesson in expediency."

    I have been using mercurial for a project because a colleague
    requested a more sophisticated form of version control, and
    mercurial was the only one I couldn't find anybody hating on.  So
    now, I'm curious: what's so bad about it?  I assume this because
    plan9 has it's own method that is even simpler.  And that that
    being the case, the reason why mercurial exists at all is the same
    as why more people don't use plan9.

    Same question for python.

    ..I distantly sense that I should clarify things a bit.. -> I have
    a large amount of python code from back when it was convenient,
    starting from when my os journey was at the stage of taking the
    daring leap from windows to linux.  At the time, it was the only
    option, (from a certain point of view), and hasn't given me any
    trouble. I've attempted to get information on the relative speeds
    of c code and python code with numerical python, with inconclusive
    results.

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