In my last article on Inko, I implemented several data structures to demonstrate how Inko’s single ownership model works. In this article, I will expose a big lie in that article and also dive into how Inko safely handles concurrency. Why Concurrency is Hard Truth be told, concurrency is hard for a lot of reasons, but the one that comes up most often is concurrent memory access. If you have two threads of execution running at the same time, and they both read from and/or write to a variable, the variable is likely to end up with incorrect or garbage data.
I briefly described Inko’s unique memory management model in my previous article. In this one, I want to go into a little more detail on single ownership and move semantics by implementing a few linked lists, and a couple graphs. This is a tutorial about Inko and not about data structures, so I am assuming that you have a passing knowledge of the data structures in question (or know how to use a search engine to get that passing knowledge).
UPDATE: I’ve updated the Inko Formula on Homebrew to 0.11.0, so you may just want to use brew install inko instead. That said, There are a few bugfixes on Inko that didn’t make it to the 0.11.0 release, so you may want to build off the main branch instead. I have a blog article in progress about why I’m super excited about the Inko Programming Language. It’s nowhere near completion, however, and I wanted to share how I got the latest version Inko running on MacOS (Ventura).
Throughout my career, I’ve at least tried most of the available programming editors. More than two decades ago, I heard about the vi-vs-emacs debate, and made a pact with myself to use both for at least a year before deciding which I preferred. I started with vim, switched to emacs after a year, and decided I preferred vim. I joined the sublime-text bandwagon for a year or two in the early 2010s, switched back to vim in the middle of the decade, and eventually did the big switch to vscode.
Introduction This is the fifth in a series of articles exploring the Gleam programming language. In the most recent article, we started exploring how Gleam interfaces with ERLang’s powerful OTP concurrency framework to brute force some passwords. However, it was suboptimal, partially because I didn’t know what I was doing, and partially because I didn’t have time to go into some of the deeper details. I also had a super valuable tip from the Gleam discussion group that I wanted to go into.
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