000			01231nam a22001697a 4500
005			20250306123609.0
020			_a978-1098121228
082			_a006.312 _bVAN-P
100			_aVanderPlas, Jake
245			_aPython Data Science Handbook : _bEssential Tools for Working with Data
250			_a2nd Ed;
260			_aSebastopol, CA. _bO'Reilly Media _c2023
300			_a563p.
500			_aPython is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.
504			_aInclude Index.
942			_cBK
999			_c34538 _d34538