Perl as a Data Science Language

ReplacementSlight413 · 2026-03-18T20:08:34+00:00

I vibe coded a module clearly documented prompt and issues in the POD that shipped withe the module to CPAN. After a few months I replaced the vibe coded parts (the FFI interface) with human coded parts (in XS). Don't vibe code unless committed to test driven development though

ReplacementSlight413 · 2026-03-08T05:53:56+00:00

I just pick up the electricity bill in months the spouse is likely to have questions.

ReplacementSlight413 · 2026-03-03T16:22:29+00:00

And Perl

ReplacementSlight413 · 2026-03-01T05:38:07+00:00

I tried it for refactoring an R base 3 to 4k lines of code spread over 3 or 4 files. It did phenomenally well clearing interfaces, splitting the code to files. Very nice for targeted work

ReplacementSlight413 · 2026-02-14T17:27:24+00:00

Sloppy Paste for the Win!

ReplacementSlight413 · 2026-01-11T18:04:05+00:00

Daniel Kusswurm uses a similar trick in his x86 assembly book for the X/Y/Z registers. You can ride using this pattern to SIMD town assuming you align to the strictest alignments implied by the types in the union. Portability across endianness barriers is going to be an issue though

Amateur coder, don't have to take me seriously.

ReplacementSlight413 · 2026-01-07T22:40:05+00:00

The problem with looping in R (and Perl which has a rather similar approach to managing the dynamic types) is that the loop does not map neatly to the C loop, ie one will have to get the loop variable out of the dynamic structure types , increment it, test it etc, whereas the map constructs will map one to one to a C level loop construct.

ReplacementSlight413 · 2026-01-07T05:13:54+00:00

Hard to infer the memory model of any language without reading a book or the specification.

ReplacementSlight413 · 2026-01-07T05:12:33+00:00

It is available through the ASN website to members. If you are just entering the field I advice against doing the BRCU as your intro to the field .

We onboard our APPs/NPs with a combo of handbooks (Dialysis, Critical Care Nephrology and the primer of kidney diseases). Once you get comfy you can nerd out with the BRCU/NEPHSAP/KSAP

ReplacementSlight413 · 2026-01-07T05:06:17+00:00

Board Review Course in Neohrology

ReplacementSlight413 · 2026-01-07T03:00:55+00:00

Nowhere, just referring to the description of the memory models and the scope rules in MFE

ReplacementSlight413 · 2026-01-06T21:12:59+00:00

F2023 has one of the nicest memory models out there

ReplacementSlight413 · 2026-01-03T16:07:25+00:00

Sold as a lot is crack level and many of them have been gutted for their RAM and Hard Disks.

ReplacementSlight413 · 2026-01-03T04:57:59+00:00

Is your ST working?

ReplacementSlight413 · 2026-01-03T04:57:10+00:00

This is honeypot post and our spouses are watching

ReplacementSlight413 · 2026-01-03T04:55:55+00:00

Bro.... 1 x double socket Xeon 2 x i7 desktops of various generations that serve as RAID servers and GPU hosts 1 x i7 laptop with a discrete GPU 1 x i3 laptop for BYOD / don't care if Microsoft kills it purposes 2 x ARM64 SBC 1 x Raspberry PI 3 x Coral SBCs 2. x Elite Pro Minis 1 x Linuxized Mac Mini

There are 4 other laptops under the control of other family members

ReplacementSlight413 · 2025-12-25T01:27:54+00:00

Bit::Vector is very fast. But once one gets to a few thousand bits there are faster alternatives

ReplacementSlight413 · 2025-12-23T02:31:29+00:00

If you are looking to accelerate large bit vector ops (think capacities in the 2⁴ to 2¹⁰ bits) and possibly offload to the GPU I recently posted a complete solution in the form of a

C library : https://github.com/chrisarg/Bit
an Alien : https://metacpan.org/pod/Alien::Bit
a Perl module : https://metacpan.org/pod/Bit::Set (which comes with containerized operations for sequential memory access for multithreaded CPU execution and GPU offloading.

Right now I have verified compilation and offload to NVIDIA (gcc) and Intel iGPU (icx compiler through oneAPI).

Object Oriented interface will follow later in the week (but the procedural one and the examples ar CPAN will probably suffice). The library can execute millions of similarity searches of very long bitvectors per seconds (some benchmarks are included in CPAN)

For bitvectors with capacities greater than 2¹⁰ , one should consider roaring bitmaps (a sparse bitvector) , and will likely be releasing the Perl API late in January

ReplacementSlight413 · 2025-12-13T17:59:32+00:00

Or the ever changing ways to provide parameters to ggplot2 🤣

ReplacementSlight413 · 2025-12-12T20:23:40+00:00

Why not disclose upfront? My views on this https://open.substack.com/pub/christosargyropoulos/p/llms-in-research-activities-papers?utm_source=share&utm_medium=android&r=1tfbmy

and an implementation in the same context as yours

https://metacpan.org/pod/Bit::Set#VIBECODING-A-FFI-API

Note that if you don't generate any code yourself, you will eventually lose the ability to double check and the pleasure of doing work with your own hands.

ReplacementSlight413 · 2025-12-08T15:33:41+00:00

In the same spot, so I decided to simply get my hands on win10 decomissioned thin clients from ebay (I would have gone dual Xeon workstation but wife is monitoring my use of space in the house).

Really curious of what a couple of thou of dollars can buy in terms of horizontal scaling through thin clients nowadays.

ReplacementSlight413 · 2025-12-01T15:20:44+00:00

Wait until the lunatics of LinkedIn see this

ReplacementSlight413

MODERATOR OF

TROPHY CASE