| Record ID | marc_columbia/Columbia-extract-20221130-022.mrc:160724676:2076 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-022.mrc:160724676:2076?format=raw |
LEADER: 02076cam a2200445 a 4500
001 10811789
005 20191004094332.0
008 130208s2013 caua 001 0 eng d
010 $a 2012538094
019 $a829880827$a871696752$a880954186
020 $a9781449319793
020 $a1449319793 (pbk.)
024 $a99961102282
035 $a(OCoLC)973821819
035 $a(OCoLC)ocn973821819
035 $a(NNC)10811789
040 $aBTCTA$beng$cBTCTA$dDLC$dUKMGB$dYDXCP$dSINLB$dOCLCO$dCDX$dIAD$dBWX$dTXI$dIUL$dCUY$dOCLCF$dWEX$dTWTCL$dOCLCQ
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,$c©2013.
300 $axiii, 452 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
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$0(OCoLC)fst00887946
650 7 $aProgramming languages (Electronic computers)$2fast$0(OCoLC)fst01078704
650 7 $aPython (Computer program language)$2fast$0(OCoLC)fst01084736
852 00 $bets$hQA76.73.P98$iM42 2013
852 00 $bleh,eds$hQA76.73.P98$iM42 2013
852 00 $bglx$hQA76.73.P98$iM42 2013
852 00 $bglx$hQA76.73.P98$iM42 2013