|
|
|
|
| LEADER |
01628cam a2200349 a 4500 |
| 001 |
17618361 |
| 003 |
inmpuc |
| 005 |
20200923105944.0 |
| 008 |
130208s2013 cc a 001 0 eng d |
| 010 |
|
|
|a 2012538094
|
| 016 |
7 |
|
|a 016118103
|2 Uk
|
| 020 |
|
|
|a 9781449319793 (pbk.)
|
| 020 |
|
|
|a 1449319793 (pbk.)
|
| 035 |
|
|
|a (OCoLC)ocn794362690
|
| 040 |
|
|
|a BTCTA
|b eng
|c BTCTA
|d UKMGB
|d YDXCP
|d SINLB
|d OCLCO
|d CDX
|d IAD
|d BWX
|d TXI
|d DLC
|
| 042 |
|
|
|a lccopycat
|
| 050 |
0 |
0 |
|a QA76.73.P98
|b M42 2013
|
| 082 |
0 |
0 |
|a 005.133
|2 23
|
| 100 |
1 |
|
|a McKinney, Wes.
|
| 245 |
1 |
0 |
|a Python for data analysis /
|c Wes McKinney.
|
| 260 |
|
|
|a Beijing :
|b O'Reilly,
|c c2013.
|
| 300 |
|
|
|a xiii, 447 p. :
|b ill. ;
|c 24 cm.
|
| 500 |
|
|
|a Includes index.
|
| 505 |
0 |
|
|a Preliminaries -- 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 -- Advancded NumPy.
|
| 650 |
|
0 |
|a Python (Computer program language)
|
| 650 |
|
0 |
|a Programming languages (Electronic computers)
|
| 650 |
|
0 |
|a Data mining.
|
| 906 |
|
|
|a 7
|b cbc
|c copycat
|d 2
|e ncip
|f 20
|g y-gencatlg
|
| 942 |
|
|
|2 ddc
|c BK
|
| 955 |
|
|
|b xh14 2013-02-08 z-processor
|i xh14 2013-02-08 to BCCD
|
| 999 |
|
|
|c 352882
|d 352882
|
| 952 |
|
|
|0 0
|1 0
|2 ddc
|4 0
|6 005_133000000000000_WES_P
|7 0
|9 407918
|a DCS
|b DCS
|d 2018-10-10
|i 1541
|l 0
|o 005.133 WES/P
|p DCS1541
|r 2020-09-23
|w 2020-09-23
|y BK
|