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020 _a9789355421906
040 _cSTCPL
041 _aENG
082 0 4 _a005.133
_bWES-P
100 1 _aMcKinney, Wes
245 1 0 _aPython for data analysis :
_bdata wrangling with pandas, NumPy, and Jupyter /
_cby Wes McKinney
250 _a3rd ed.
260 _aSebastopol:
_bO'REILLY,
_c2022.
300 _a561 p.
_bPB
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." --
650 0 _aData anlysis
650 0 _aPython (Computer program language)
650 0 _aProgramming languages (Electronic computers)
650 0 _aData mining
650 7 _aProgramming languages (Electronic computers)
942 _cBK
942 _2ddc
942 _2ddc
999 _c86927
_d86927