000			02211nam a2200481 i 4500
001			991001134068707456
005			20250612075544.0
008			240720t20222022maua 001 0 eng d
010			_a 2023549174
015			_aGBC2D5219 _2bnb
016	7		_a020700153 _2Uk
020			_a9781098104030
020			_a109810403X
035			_a(OCoLC)on1338676391
035			_a(DLC) 2023549174
040			_aUKMGB _beng _erda _cUKMGB _dOCLCF _dIMD _dJOZ _dSISPL _dQGE _dUKMGB _dLML _dVNVGU _dOCL _dTRC _dOCLCO _dDLC
042			_alccopycat
050	0	0	_aQA76.73.P98 _bM42 2022
082	0	4	_a006.312 _223
100	1		_aMcKinney, Wes, _eauthor. _1https://isni.org/isni/0000000392261488
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.
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
960			_aPOL-2306 _b2440143 _c1
999			_c6964 _d6964