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_2Uk
020 _a9781098104030
_q(paperback)
020 _a109810403X
_q(paperback)
035 _a(OCoLC)on1338676391
040 _aUKMGB
_beng
_erda
_cUKMGB
_dOCLCF
_dIMD
_dJOZ
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042 _alccopycat
050 0 0 _aQA76.73.P98
_bM42 2022
082 0 4 _a006.312
_223
100 1 _aMcKinney, Wes,
_eauthor.
_91059
245 1 0 _aPython for data analysis :
_bdata wrangling with pandas, NumPy, and Jupyter /
_cWes McKinney.
250 _aThird edition.
264 1 _aBeijing :
_bO'Reilly,
_c[2022]
264 4 _c©2022
300 _axvi, 561 pages :
_billustrations ;
_c24 cm
336 _atext
_btxt
_2rdacontent
336 _astill image
_bsti
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
500 _aPrevious edition: 2017.
500 _aIncludes index.
504 _aIncludes bibliographical references and index.
505 0 _aPreliminaries -- Python language basics IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaing and preparation -- Data wrangling: join, combine, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Introduction to modeling libraries in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
520 _a"Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing." --
_cProvided by publisher
650 0 _aPython (Computer program language)
_91060
650 0 _aProgramming languages (Electronic computers)
_91061
650 0 _aData mining.
_91062
650 6 _aExploration de données (Informatique)
_91063
650 6 _aPython (Langage de programmation)
_91064
650 7 _aProgramming languages (Electronic computers)
_2fast
_91065
650 7 _aData mining
_2fast
_91066
650 7 _aPython (Computer program language)
_2fast
_91067
906 _a7
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_ccopycat
_d2
_encip
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942 _2lcc
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999 _c8465
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