I cannot share specific projects. J is particularly good for numeric/algorithmic experimentation. It is interactive/REPL-based. Types and boilerplate are minimal. There is no compilation and minimal packages. This is the language I reach for when step 2 is not going to be “install these packages” or deploy to share code. It is most remarkable for data hacking, as it is trivial to manipulate structures and maintain performance. I use python, R, and clojure frequently, but the ability to move quickly in J is without parallel. Weaknesses include namespacing and deployment, although I have seen deployment of substantial codebases both on desktops and servers. Multi-threading and AX512 instructions in _your_ (not package) code, from the REPL are some of what you get with j904.
BigElephant|3 years ago
jpf0|3 years ago