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/