Concurrency – Raku Advent Calendar

Day 7: .hyper and Cro

or How (not) to pound your production server (and to bring on the wrath of the Ops) So, I’m a programmer and I work for a government TI “e-gov” department. My work here is mostly comprised of one-off data-integration tasks (like the one in this chronicle) and programming satellite utilities for our Citizen Relationship ManagementContinue reading “Day 7: .hyper and Cro”

Day 7 – Neural Nets in Raku (Part 1)

Thinky the Elf was sitting in his office, it had been a closet but he’d been given it as his office after the great baked beans incident. It wasn’t his fault. He was right that feeding the reindeer beans would give them a jet boost but Santa had not been all that happy about it.Continue reading “Day 7 – Neural Nets in Raku (Part 1)”

Day 1 – Batteries Included: Generating Thumbnails

It was a cold wintry night in the North Pole and Santa was in a mood. “Naughty. Naughty. Naughty. Ni..aughty” he grumbled, checking his list. Then checking it again. “Everything ok?” chipped cheerful Sparkleface the elf, bouncing into the room. “Isn’t it nice to have some cold weather for a change?” Santa scowled at SparklefaceContinue reading “Day 1 – Batteries Included: Generating Thumbnails”

Day 19 – Functional Programming with Raku

Functional Programming in Raku I watched a really nice video recently, Functional Programming in 40 minutes, which I thought was really good. I’ve done bits of functional programming over the years but I know lots of people find the ideas behind it quite confusing. So the first thing I’d say is go watch that video,Continue reading “Day 19 – Functional Programming with Raku”

Day 18: What is my concurrent or parallel Raku program doing?

Raku makes it easy to introduce a bit of parallelism into a program – at least, when the solution lends itself to that. Its asynchronous programming capabilities also shine when building concurrent applications. During the last year, I’ve enjoyed employing both of these in my work. However, I also discovered that something was missing. ItContinue reading “Day 18: What is my concurrent or parallel Raku program doing?”