[7thaccount]

I don't think your performance numbers are very accurate. I've done a bit of Perl and a lot of Python and they're fairly comparable in most cases. Python is lightning fast for a lot of scripting tasks and I generally use very few libraries for day to day tasks because the Python stdlib is so good.

Unless you're doing something really simple with Perl command line switches that operate over an entire file, I'd bet Perl and Python solutions will be in the neighborhood of the same number of loc even with all the magic in Perl as Python has a lot of modern conveniences. It's easy to build a complex datastructure in Python with nested dictionaries with sets/lists/other dictionaries... whatever. In Perl it's more complex.

[throwaway373438]

No, his estimates look pretty accurate to me. I've also done a fair bit of both Perl and Python (including working with the internals in C).

Perl is significantly faster than Python for many types of common string manipulation tasks. They're both fast, sure, but Perl has some key optimizations.

[7thaccount]

For maybe some regex tasks sure, but there are also plenty of Python operations that are significantly faster than Perl, not to even mention all the data science stuff. I might have misunderstood the comment as evaluating the language on one thing doesn't capture a broad/general spectrum of usefulness.

[throwaway373438]

Every language in this category will have bindings to domain specific high performance modules. This is part of why performance doesn't matter all that much - we can always push hot operations into another language.

Perl generally outperforms python in core language features.

[7thaccount]

The benchmarks shown elsewhere here tend to disagree with that. I think at one point that was more true than it is now. Overall though they seem to be comparable enough to where it probably doesn't matter.

Also, the bindings have to exist which they don't with Perl for a lot of scientific uses (PDL is not a substitute for Numpy/SciPy/Pandas).

Don't get me wrong. I own at least 12 Perl books and have reviewed some of the latest Perl 6 (Raku) books and really really like Raku. There's not much wrong with Perl in my book (certainly not what most people claim). I've reached for it a few times at work and found it to be fairly pleasant to use. My biggest complaints about building complex data structures in Perl (yes it's much easier than C, but still complicated if you're coming from Python) and having to remember when something is "$" that in my mind should be "@" have all been fixed by Raku.

I just wanted to point out that your views about it being much faster across the board don't seem to be correct.

[hpcjoe]

Any data to back up this claim? My experience in dealing with large numbers of files, huge data sets, is that Perl generally roars, while python lags. I converted a python code to Perl associated with some recent work, and got a good ~2.5x overall improvement. It varied a bit as a function of the input, but generally Perl is superior in performance. Some areas Python is better, but not many.

[hpcjoe]

No, the numbers are pretty accurate. In most of the cases I've run into, Perl is faster than Python for its operations. Some trivial examples[1] showed up on HN a few weeks ago, about how this person "optimized" python, by eventually replacing python with C.

As for the nested complex data structures, Perl's been doing that forever (e.g. since 5.x started). And its trivial to use.

That's one of the nicer aspects of Perl. Things you think should work, often, just do. And work the way you want them to. It's not perfect. It is very, very good though.

[1] https://scalability.org/2020/05/on-optimizing-scripting-lang...

[rumanator]

> I don't think your performance numbers are very accurate.

Food for thought.

https://benchmarksgame-team.pages.debian.net/benchmarksgame/...

[7thaccount]

So Python is faster than Perl on 6/10 benchmarks? This seems to support my argument that they are generally fairly comparable and definitely not that Perl is waaay faster.

[fnord123]

More food for thought: https://bitbucket.org/ewanhiggs/csv-game/src/master/README.m...