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This seems a very cool and interesting evolution for a stable and productive language, focused on real needs in the industry. The focus on making sure it all integrates well and works with legacy code is astounding. Very nice. Ocaml future seems great.

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Making OCaml Safe for Performance Engineering | Lobsters

lobste.rs/s/ujvpdn/making_ocam

lobste.rsMaking OCaml Safe for Performance Engineering | Lobsters

🗓️ Celebrating the 30th Anniversary of Delphi version 1.0’s Launch

「 Today we celebrate the 30th anniversary of the launch of Delphi version 1.0 on Valentine’s Day, February 14, 1995, at the Software Development West Conference in San Francisco California. More that 12 years of continuous IDE, language, tools and library development led up to the launch of Delphi version 1.0 」

blog.davidi.com/2025/02/14/cel

blog.davidi.comCelebrating the 30th Anniversary of Delphi version 1.0’s Launch – David I's Everything About Software Development (including the kitchen sink)

Writing an #interpreter for #Brainfuck is almost a rite of passage for any programming language implementer, and it’s my turn now. In this post, I write not one but four Brainfuck #interpreters in #Haskell: abhinavsarkar.net/posts/brainf

Please boost for reach. If you have any questions or comments, please reply to this post.

abhinavsarkar.net · Interpreting Brainfuck in Haskell
More from Abhinav 🌏

Lua is so underrated

"Lua doesn’t have the same level of marketing and hype as some other languages. This lack of promotion means that fewer developers are aware of Lua’s capabilities and benefits. It is often perceived as a niche language, primarily used in gaming and embedded systems."

nflatrea.bearblog.dev/lua-is-s

Noë FlatreaudLua is so underratedThe more I learn about Lua's design and implementation, the more impressed I am. It's very rare to see software that does so much with so little code. Un...

Finally getting around to my new year’s resolution… I’m looking for PhD opportunities! I’m enjoying myself doing professional software dev right now, but I promised myself after my master’s that I’d try going back to academia eventually; this is the year I want to set that up. So I’m wondering if anyone on here knows of anything that's available. :>

Generally I’d love to do work involving programming languages in the broadest sense of the word, but also involving something that's not traditionally PL theory. For example:

- Human factors in PL design: learnability, cognitive processing, etc.
- Going beyond plain text for programming: graphical languages, alternative ways of storing & editing code (e.g. Unison), etc.
- Applying proof assistants / type theories outside of pure mathematics: natural language semantics, experiment design, etc.
- FP software architecture, empirical software engineering.

Boosting and sharing much appreciated! 🔃

#phd#academia#plt