| Record ID | harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:430042868:1685 |
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LEADER: 01685cam a2200373 a 4500
001 013376452-4
005 20140402110804.0
008 130208s2013 caua 001 0 eng d
010 $a 2012538094
016 7 $a016118103$2Uk
020 $a9781449319793 (pbk.)
020 $a1449319793 (pbk.)
035 0 $aocn794362690
040 $aBTCTA$beng$cBTCTA$dDLC$dUKMGB$dYDXCP$dSINLB$dOCLCO$dCDX$dIAD$dBWX$dTXI$dIUL$dCUY$dOCLCF$dWEX
042 $alccopycat
050 00 $aQA76.73.P98$bM42 2013
082 00 $a005.13/3$223
100 1 $aMcKinney, Wes.
245 10 $aPython for data analysis /$cWes McKinney.
260 $aSebastopol, Calif. :$bO'Reilly,$cc2013.
300 $axiii, 452 p. :$bill. ;$c24 cm.
500 $aIncludes index.
505 0 $aPreliminaries -- Introductory examples -- IPython : an interactive computing and development environment -- NumPy basics : arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data wrangling : clean, transform, merge, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Financial and economic data applications -- Advanced NumPy -- Appendix: Python language essentials.
520 $aServes as an introduction to Python for data-intensive applications.
650 0 $aPython (Computer program language)
650 0 $aProgramming languages (Electronic computers)
650 0 $aData mining.
650 7 $aData mining.$2fast
650 7 $aProgramming languages (Electronic computers)$2fast
650 7 $aPython (Computer program language)$2fast
899 $a415_565750
988 $a20121012
049 $aHLSS
906 $0OCLC