LEADER 02000nam 22005893 450 001 9910876958603321 005 20240718150648.0 010 $a9781394213276 010 $a1394213271 010 $a9781394213252 010 $a1394213255 035 $a(MiAaPQ)EBC31227213 035 $a(Au-PeEL)EBL31227213 035 $a(CKB)31088061500041 035 $a(OCoLC)1428132588 035 $a(OCoLC-P)1428132588 035 $a(CaSebORM)9781394213245 035 $a(Perlego)4370932 035 $a(OCoLC)1428260921 035 $a(EXLCZ)9931088061500041 100 $a20240328d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData science fundamentals with R, Python, and Open Data$fMarco Cremonini 205 $a1st ed. 210 1$aNewark$cJohn Wiley & Sons, Incorporated$d2024 210 4$dİ2024 215 $a1 online resource (480 pages) 300 $aIncludes index. 311 08$a9781394213245 311 08$a1394213247 327 $a11.3.2.1 Functions pd.Dataframe() and pd.Dataframe.from_dict(). 330 $a"Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data."--$cProvided by publisher. 606 $aData mining 606 $aR (Computer program language) 606 $aPython (Computer program language) 615 0$aData mining. 615 0$aR (Computer program language) 615 0$aPython (Computer program language) 676 $a006.3/12 700 $aCremonini$b Marco$01733589 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 801 2$bCH-ZuSLS UZB UBZH-EM 906 $aBOOK 912 $a9910876958603321 996 $aData science fundamentals with R, Python, and Open Data$94189410 997 $aUNINA