This is, of course, true, but also points a way forward depending on requirements.  Some kind of organised sponsorship and curation of libraries into a more or less coherent whole that's fit for purpose would be a start.  No matter how small the start.  Ravenpack? Franz?  There are a few corporate users out there that would probably like an organised numeric ecosystem.


On Wednesday, April 12, 2023 at 04:07:38 AM GMT+8, Robert Goldman <rpgoldman@sift.net> wrote:


I don't mean to rain on the parade, but the development and maintenance of numpy consumes a level of resources that is simply beyond the capacity of the CL community to muster.

The NUMFocus project, a non-profit, supports this and other numerical computation projects (most, but not exclusively python), drawing on substantial amounts of corporate sponsorship.

I urge you to cast your eyes on this NumFOCUS sponsors list before thinking that our community could even begin to tackle this task: https://numfocus.org/sponsors

On 11 Apr 2023, at 7:14, Steven Nunez wrote:

There's also the Lisp-Stat ecosystem, if you don't already know about it. Data-frame, array-operations and LLA (Lisp Linear Algebra) cover much of numpy's functionality; at least enough to get significant work done.

On Tuesday, April 11, 2023 at 07:45:50 PM GMT+8, Elliott Johnson <elliott@elliottjohnson.net> wrote:


FYI -  there appears to be a library called numcl that was written to cover numpy's functionality.

   https://github.com/numcl/numcl

I've yet to try it, but thought I'd pass along the link.

Regards,
Elliott Johnson


-------- Original message --------
From: Raymond Wiker <rwiker@gmail.com>
Date: 4/11/23 3:53 AM (GMT-08:00)
To: Discussion list for Common Lisp professionals <pro@common-lisp.net>
Subject: Re: Numpy and Common Lisp?

There’s cl-ana, which may be a useful substitute in some cases… or april, possibly.

If you specifically want numpy, it may be possible to have Common Lisp talking to python.

On 11 Apr 2023, at 08:41, Marco Antoniotti <marco.antoniotti@unimib.it> wrote:

Hi Michael

I am all for it.  But, as I said, I am an academic (and a cat).

Should we (as in "a bunch of common lispers", most of whom with day jobs) want to do something like that, how would you want to proceed?  Note that I have been part of many past failures.

All the best

Marco


On Tue, Apr 11, 2023 at 1:01 AM Michael Bentley <michael@stray-labs.com> wrote:

IMHO, it'd be easier and effective to band up together and FIRST write a proper API specification and THEN implement it in CL.

I agree.  Here’s the API specification for NumPy: https://numpy.org/doc/stable/reference/index.html#reference

Looks rather intimidating. Less intimidating though, than doing the FFI dance, though.