I agree with many of the commenters here that Python has a lot of great libraries and is a major player for scientific computing these days. I also code in Python from time to time, but I prefer the OO modelling and language flexibility features of Perl.
Speaking for myself and not the other PDL devs, I don't think this is an issue for Perl-using scientists as Perl can actually call Python code quite easily using Inline::Python. In the future I will be working on interoperability between the two better specifically for NumPy / Pandas. This is also the path being taken by Julia and R.
The last release wasn't in February, it was just last week! <https://metacpan.org/release/ETJ/PDL-2.050>.
I agree with many of the commenters here that Python has a lot of great libraries and is a major player for scientific computing these days. I also code in Python from time to time, but I prefer the OO modelling and language flexibility features of Perl.
Speaking for myself and not the other PDL devs, I don't think this is an issue for Perl-using scientists as Perl can actually call Python code quite easily using Inline::Python. In the future I will be working on interoperability between the two better specifically for NumPy / Pandas. This is also the path being taken by Julia and R.