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It is said that good things come to those who wait. Jacques-Henri Jourdan demonstrated Statistically profiling memory in OCaml at the 2016 OCaml Workshop and experimental branches of it existed for OCaml 4.03–4.07 in opam. Parts of the work were merged in OCaml 4.10 and the final sections landed with 4.11.

A conversation with Laurent Mazare about how your choice of programming language interacts with the kind of work you do, and in particular about the tradeoffs between Python and OCaml when doing machine learning and data analysis. Ron and Laurent discuss the tradeoffs between working in a text editor and a Jupyter Notebook, the importance of visualization and interactivity, how tools and practices vary between language ecosystems, and how language features like borrow-checking in Rust and ref-counting in Swift and Python can make machine learning easier. You can find the transcript for this podcast episode along with links to things we discussed at signalsandthreads.com.

A conversation with Laurent Mazare about how your choice of programming language interacts with the kind of work you do, and in particular about the tradeoffs between Python and OCaml when doing machine learning and data analysis. Ron and Laurent discuss the tradeoffs between working in a text editor and a Jupyter Notebook, the importance of visualization and interactivity, how tools and practices vary between language ecosystems, and how language features like borrow-checking in Rust and ref-counting in Swift and Python can make machine learning easier. You can find the transcript for this podcast episode along with links to things we discussed at signalsandthreads.com.

Memory issues can be hard to track down. A function that onlyallocates a few small objects can cause a space leak if it’s calledoften enough and those object...

Lwt meets Multicore OCaml.

It’s a software engineer’s dream: A compiler that can take idiomatic high-level code and output maximally efficient instructions. Ron’s guest this week is Greta Yorsh, who has worked on just that problem in a career spanning both industry and academia. Ron and Greta talk about some of the tricks that compilers use to make our software faster, ranging from feedback-directed optimization and super-optimization to formal analysis. You can find the transcript for this episode along with links to things we discussed at signalsandthreads.com.

This blog post and the previous one about functor packs covers two RFCs currently developed by OCamlPro and Jane Street. We previously introduced functor packs, a new feature adding the possiblity to compile packs as functors, allowing the user to implement functors as multiple source files or even ...

I realised several months ago that I don’t feel imposter syndrome at my current job. A couple of years ago I found myself writing ocaml for a certain trading firm which prides itself on only hiring the smartest people. I often felt like I somehow fluked their notoriously difficult interviews, and that I was somehow not “smart enough” to work there.