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020 _a9781098104030
_qpaperback
020 _a109810403X
_qpaperback
040 _aUKMGB
_beng
_erda
_cUKMGB
_dOCLCF
_dIMD
_dJOZ
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_dQGE
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_dBD-DhIUB
082 0 4 _a006.312
_223
_bM1583p
100 1 _aMcKinney, Wes
_eauthor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aPython for data analysis :
_bdata wrangling with pandas, NumPy, and Jupyter /
_cWes McKinney.
250 _aThird edition.
260 _aNew Delhi:
_bShroff Publishers and Distributors Pvt.Ltd.,
_c2022
300 _axvi, 561 pages
_billustrations
_c24 cm
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." -- Provided by publisher
526 _aCSE
_bps
_lREF
541 _aOmni concept
650 0 _aPython (Computer program language)
650 0 _aProgramming languages (Electronic computers)
650 0 _aData mining
650 6 _aExploration de données (Informatique)
650 6 _aPython (Langage de programmation)
650 7 _aProgramming languages (Electronic computers)
_2fast
650 7 _aData mining
_2fast
650 7 _aPython (Computer program language)
_2fast
942 _2ddc
_cBK
999 _c57804
_d57978