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001 9911007120603321
005 20240117080002
010   $a9781523139996
010   $a1523139994
010   $a9781683926528$b(electronic bk.)
010   $a1683926528
035   $a(CKB)4100000011808921
035   $a(MiAaPQ)EBC6522949
035   $a(VLeBooks)9781683926528
035   $a(Perlego)3026715
035   $a(FR-PaCSA)88949082
035   $a(FRCYB88949082)88949082
035   $a(EXLCZ)994100000011808921
100   $a20260104d2021      u|         |
101 0 $aeng
135   $aurun|   |||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPython 3 and Data Analytics Pocket Primer /$fCampesato, Oswald
210  1$aBoston, MA, USA$cMercury Learning and Information$d2021
215   $a1 online resource
225   $aPocket Primer
311 08$a9781683926542 
311 08$a1683926544 
330   $a"As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available." -- Publisher's description.
606   $aData mining
615  0$aData mining.
700   $aCampesato$b Oswald$01594522
801  0$bFR-PaCSA
906   $aBOOK
912   $a9911007120603321
996   $aPython 3 and Data Analytics Pocket Primer$94389248
997   $aUNINA