Daniel on Twitter - https://twitter.com/daslu_
Daniel on GitHub - https://github.com/daslu
SciCloj - https://scicloj.github.io

Study Group - https://scicloj.github.io/docs/community/groups/

processing tables:
https://github.com/techascent/tech.ml.dataset
github.com/scicloj/tablecloth
processing arrays:
https://github.com/cnuernber/dtype-next (should have mentioned)
https://neanderthal.uncomplicate.org/
processing nested, unstructured data:
https://github.com/clojure/core.match
https://github.com/noprompt/meander
https://github.com/redplanetlabs/specter
math and stats:
https://github.com/generateme/fastmath
https://github.com/MastodonC/kixi.stats
data viualization libraries:
https://vega.github.io/
https://github.com/generateme/cljplot
https://github.com/jsa-aerial/hanami
classical machine learning:
https://haifengl.github.io/ (wrapped in scicloj.ml)
deep learning
https://github.com/scicloj/clj-djl (wrapped in scicloj.ml)
https://github.com/uncomplicate/deep-diamond
machine learning workflows:
https://github.com/scicloj/metamorph.ml
the underlying pipeline notion:
https://github.com/scicloj/metamorph
wrapping all most of those machine learning libraries and workflow together:
https://github.com/scicloj/scicloj.ml
processing tables with spark:
https://github.com/zero-one-group/geni
should have mentioned:
https://github.com/clj-python/libpython-clj
https://github.com/scicloj/clojisr

Video Courses:
https://clojure.stream
https://www.learnpedestal.com/
https://www.learndatomic.com/
https://www.learnreitit.com/
https://www.learnreagent.com/
https://www.learnreframe.com/
https://www.jacekschae.com/

E78 Data Science with Daniel Slutsky

Join Jacek Schae and explore unusually expressive programming language with Lisp roots that runs on JavaScript, Java Virtual Machine, and CLR.

E78 Data Science with Daniel Slutsky

ClojureStream Podcast