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I read your article when it was first published and agree with the sentiment. Off topic (sorry) but one thing Racket is missing is great Python interop to mix
by mark_l_watson 4y ago
I read your article when it was first published and agree with the sentiment.
Off topic (sorry) but one thing Racket is missing is great Python interop to mix in deep learning and other libraries. Common Lisp and Clojure have this support. Years ago I tried saving trained Keras weights and using them in Racket with the Matrix support: it works, but not very fun to use.
- soegaard 4y agoWould something like `flomat` have helped? https://docs.racket-lang.org/manual-flomat/index.html https://docs.racket-lang.org/manual-flomat/index.html
- mark_l_watson 4y agoThanks, it would have. I see you are the author, what types of applications do you use flomat for?