Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space.
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E78 Data Science with Daniel Slutsky
MP3•Pagina episodului
Manage episode 339625140 series 2504492
Content provided by ClojureStream Podcast and Jacek Schae. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ClojureStream Podcast and Jacek Schae or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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/
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99 episoade
MP3•Pagina episodului
Manage episode 339625140 series 2504492
Content provided by ClojureStream Podcast and Jacek Schae. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ClojureStream Podcast and Jacek Schae or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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/
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99 episoade
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