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dc.contributor.authorSpiegelberg, Leonhard
dc.contributor.authorYesantharao, Rahul
dc.contributor.authorSchwarzkopf, Malte
dc.contributor.authorKraska, Tim
dc.date.accessioned2022-10-24T12:48:28Z
dc.date.available2022-10-24T12:48:28Z
dc.date.issued2021-06-09
dc.identifier.isbn978-1-4503-8343-1
dc.identifier.urihttps://hdl.handle.net/1721.1/145943
dc.publisherACM|Proceedings of the 2021 International Conference on Management of Dataen_US
dc.relation.isversionofhttps://doi.org/10.1145/3448016.3457244en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Proceedings of the 2021 International Conference on Management of Dataen_US
dc.titleTuplex: Data Science in Python at Native Code Speeden_US
dc.typeArticleen_US
dc.identifier.citationSpiegelberg, Leonhard, Yesantharao, Rahul, Schwarzkopf, Malte and Kraska, Tim. 2021. "Tuplex: Data Science in Python at Native Code Speed."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-20T07:47:13Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-10-20T07:47:13Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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