Applied Data Science
Applied data ScienceIan LangmoreDaniel Krasner2ContentsI Programming Prerequisites11 History and Culture . . . . . . . . . . . . . . . . . . . . . . . The Shell . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Text . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Philosophy.
What is data science? With the major technological advances of the last two decades, coupled in part with the internet explosion, a new breed of analysist has emerged. The exact role, background, and skill-set, of a data scientist are still in the process of being de ned and it is likely that by the
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