Hi there! Recently I have started grokking deep learning and I wanna make exercises and write examples with Clojure. Examples in book uses Jupiter and NumPy , does Clojure have alternatives for this tools? I heard about Clojurepiter it's still relevant? Or may be you can recommend something to me? I'm newbie in data-science.

Lots of stuff you can check out: neanderthal & deep diamond for starters are doing some very cool stuff: https://github.com/uncomplicate/neanderthal https://github.com/uncomplicate/deep-diamond

Also check out the http://tech.ml stack: https://github.com/techascent/tech.ml.dataset https://github.com/techascent/tech.datatype https://github.com/scicloj/tablecloth

For notebook-like environments, you can absolutely use Clojupyter, but there's also a number of Clojure-first options, such as: https://github.com/metasoarous/oz https://github.com/scicloj/notespace https://github.com/nextjournal/clerk