000			01556nam a22002297a 4500
005			20240627143658.0
008			240627b |||||||| |||| 00| 0 eng d
020			_a978-9355421906 (PB)
041			_aeng
082			_a005.133 _bMCK
100			_aMcKinney,Wes
245			_aPython for Data Analysis _bData Wrangling with Pandas, NumPy, and Jupyter _cWes McKinney
250			_a3
260			_a Beijing _bO'Reilly _c2022
300			_a xvi, 561 p
505			_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			_aGet the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, 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
650			_a Data mining Exploration de données (Informatique)
650			_aProgramming languages (Electronic computers)
650			_aPython (Computer program language)
942			_2ddc _cBK
999			_c2283 _d2283