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|a 9781849518932
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|a (OCoLC)851557519
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|a FRCYB88850838
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|a ABES
|b fre
|e AFNOR
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|a eng
|2 639-2
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|0 (IdRef)174181574
|1 http://www.idref.fr/174181574/id
|a Idris, Ivan.
|4 aut.
|e Auteur
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1 |
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|a NumPy cookbook :
|b over 70 interesting recipes for learning the Python open source mathematical library, NumPy
|c Ivan Idris.
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|a Données textuelles.
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|a Birmingham ;
|a Mumbai :
|b Packt Publishing,
|c 2012.
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|b txt
|2 rdacontent
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|b c
|2 rdamedia
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|b b
|2 isbdmedia
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|b ceb
|2 RDAfrCarrier
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|a Titre provenant de la page de titre du document numérique.
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|a La pagination de l'édition imprimée correspondante est de 226 p.
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|a L'accès complet à la ressource est réservé aux usagers des établissements qui en ont fait l'acquisition
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|a Configuration requise : navigateur internet.
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|0 (IdRef)027219127
|1 http://www.idref.fr/027219127/id
|a Analyse numérique.
|2 ram
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650 |
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7 |
|0 (IdRef)050678051
|1 http://www.idref.fr/050678051/id
|a Logiciels libres.
|2 ram
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650 |
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7 |
|0 (IdRef)051626225
|1 http://www.idref.fr/051626225/id
|a Python (langage de programmation).
|2 ram
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650 |
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|a Numerical analysis
|x Data processing.
|2 lc
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|a Python (Computer program language).
|2 lc
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|a Statistics
|x Data processing.
|2 lc
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|0 (IdRef)027790045
|1 http://www.idref.fr/027790045/id
|a Guides pratiques.
|2 ram
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|q HTML
|u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88850838
|w Données éditeur
|z Accès à l'E-book
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|2 unimarc
|a 181
|a i#
|b xxxe##
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|a E-Book
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|a BNUM
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|a 227981839
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