Robert,
    Thanks for this clarification.  You have been very much closer to
    these things than I have over the years.
    My conjecture, as to the reason that SciKits was said not to mention
    Matrix, was clearly wrong.
    Colin W.On 11-Apr-2014 5:14 AM, Robert Kern
      wrote:
    
      In doc/neps/return-of-revenge-of-matmul-pep.rst:
      > +much larger than both projects put together (stdlib: 411575 SLOC,
> +scikit-learn: 50924 SLOC, nipy: 37078 SLOC). [#sloc-details]
> +
> +The **dot** row (marked ``******``) counts how common matrix multiply
> +operations are in each codebase.
> +
> +::
> +
> +    ====  ======  ============  ====  ========
> +      op  stdlib  scikit-learn  nipy  combined
> +    ====  ======  ============  ====  ========
> +       =    2969          5536  4932      3376 / 10,000 SLOC
> +       -     218           444   496       261
> +       +     224           201   348       231
> +      ==     177           248   334       196
> +       *     156           284   465       192

      The Matrix class was in Numeric and predates
        numpy, numarray, scikit-learn, and nipy. This is why your
        message was so confusing.
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