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|a Dinu, Jonathan,
|e on-screen presenter.
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|a Data science fundamentals.
|n Part 1,
|p Learning basic concepts, data wrangling, and databases with Python /
|c Jonathan Dinu.
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|a Learning basic concepts, data wrangling, and databases with Python
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1 |
|a [Place of publication not identified] :
|b Addison-Wesley Professional,
|c 2017.
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|a 1 online resource (1 streaming video file (20 hr., 54 min., 20 sec.))
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|a LiveLessons
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|a Presenter, Jonathan Dinu.
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|a Title and publication information from resource description page (Safari, viewed September 14, 2017).
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|a "If nothing else, by the end of this video course you will have analyzed a number of datasets from the wild, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. And along the way you learn the best practices and computational techniques used by a professional data scientist. More specifically, you learn how to acquire data that is openly accessible on the Internet by working with APIs. You learn how to parse XML and JSON data to load it into a relational database."--Resource description page
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Python (Computer program language)
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650 |
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|a Application software
|x Development.
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650 |
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|a Machine learning.
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650 |
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0 |
|a Application program interfaces (Computer software)
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650 |
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6 |
|a Python (Langage de programmation)
|
650 |
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6 |
|a Logiciels d'application
|x Développement.
|
650 |
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6 |
|a Apprentissage automatique.
|
650 |
|
6 |
|a Interfaces de programmation d'applications.
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650 |
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7 |
|a APIs (interfaces)
|2 aat
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650 |
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|a Application program interfaces (Computer software)
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|0 (OCoLC)fst00811704
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650 |
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7 |
|a Application software
|x Development.
|2 fast
|0 (OCoLC)fst00811707
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650 |
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7 |
|a Machine learning.
|2 fast
|0 (OCoLC)fst01004795
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650 |
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7 |
|a Python (Computer program language)
|2 fast
|0 (OCoLC)fst01084736
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830 |
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0 |
|a LiveLessons (Indianapolis, Ind.)
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|u https://learning.oreilly.com/videos/~/9780134660141/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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