Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1533
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dc.contributor.authorTaieb, David-
dc.date.accessioned2026-07-28T11:13:23Z-
dc.date.available2026-07-28T11:13:23Z-
dc.date.issued2018-12-
dc.identifier.isbn978-1-78995-006-9-
dc.identifier.urihttp://hdl.handle.net/123456789/1533-
dc.description.abstractFirst, let me thank you and congratulate you, the reader, for the decision to invest some of your valuable time to read this book. Throughout the chapters to come, I will take you on a journey of discovering or even re-discovering data science from the perspective of a developer and will develop the theme of this book which is that data science is a team sport and that if it is to be successful, developers will have to play a bigger role in the near future and better collaborate with data scientists. However, to make data science more inclusive to people of all backgrounds and trades, we first need to democratize it by making data simple and accessible—this is in essence what this book is about.en_US
dc.language.isoenen_US
dc.publisherPact Publicationen_US
dc.relation.ispartofseries1241218;-
dc.subjectData Analysis with Pythonen_US
dc.titleData Analysis with Pythonen_US
dc.title.alternativeA Modern Approachen_US
dc.typeBooken_US
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