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Late to the party - my 2 ducats.

I was at London Perl Workshop showing my code off to a Python-using data scientist at lunch. What caught her eye wasn't my obvious genius, but Moose - with only half a day of Perl under her belt and she could already clearly understand what my objects did. She said I can understand that, jaw slightly dropped. Objects in Perl are easy and quick, meaning powerful.

Scientific programming - oooh you stirred up a hornets nest there :)
The great thing is that there are over 500 modules on CPAN dealing with Math, Statistics and Science. The problem is that there are over 500 modules on CPAN dealing with ... and there is not a lot of guidance on what to use. If you're looking for advice, I'd start with Perl 4 Science and post questions on The Quantified Onion.

One advantage that hasn't been mentioned, have you looked at the cost of conferences? Perl conferences are less than half the price of PyCons, in my experience.

Best of luck

Sometimes I can think of 6 impossible LDAP attributes before breakfast.

YAPC::Europe::2018 — Hmmm, need to talk to work about sending me.

In reply to Moose (and friends) by Ea
in thread Curious about Perl's strengths in 2018 by Crosis

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