Re^2: RFC -- Evolving Perl: a Decision Theory Approach to the Challenges of Perl 7

[thechartist]

Hi Perlfan,

I've been going through a number of 'Meditations' here on Perl Monks, some of Larry Wall's historical statements on the motivation of Perl, watched Sawyer X's discussion on Perl 7, and had a number of discussions on the Perl Programmers Facebook group on a "wishlist" for Perl 7. Synthesizing these things deserves a separate Meditation on its own.

FYI -- there have been a number of discussions in other forums RE: Making Perl more competitive for 'data science' applications. I think PDL is a great option currently, but the documentation and tutorials need development. I'm looking into what has been done previously with Jupyter; I'd like to have Perl PDL integrated with Jupyter notebooks to draw some attention to the current capabilities of Perl. I know there is a CPAN Jupyter Kernel, but I haven't tested it yet.

[LanX]

This thread was TL;DR and I'm probably missing the point ... but regarding

> Jupyter notebooks

Johann Rolschewski gave a lightning talk on integrating Perl in Jupyter on the German Perl Workshop 2020 (the biggest real Perl Workshop 2020 ;-)

His slides are available in English

http://jorol.de/talks/2020-GPW-Jupyter/#10

I think there must be a video too on YT, tho in German.

[etj]

For Perl in Jupyter, see Devel::IPerl.

If people have specific thoughts about individual points (even lots of them, or only a few) in the docs and tutorials that could be better, then please reply on here, or open an issue on https://github.com/PDLPorters/pdl/issues!