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Python Data Science Handbook : (Record no. 34538)

MARC details
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 978-1098121228
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Author Mark VAN-P
100 ## - MAIN ENTRY--AUTHOR
Author Name VanderPlas, Jake
245 ## - TITLE STATEMENT
Title Python Data Science Handbook :
Sub-Title Essential Tools for Working with Data
250 ## - EDITION STATEMENT
Edition statement 2nd Ed;
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of Publication Sebastopol, CA.
Name of publisher, distributor, etc. O'Reilly Media
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Pages 563p.
500 ## - GENERAL NOTE
General note Python 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.<br/><br/>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 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Include Index.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Not for loan Collection code Permanent Location Current Location Shelving Location Date acquired Source of acquisition Price Full Call Number Accession No./Barcode Date last seen Koha item type
    Computer Science Air University Kharian Campus Library Air University Kharian Campus Library Computer Science 02/17/2025 Ali Book Service 3060.00 006.312 VAN-P AUKHP0432 03/06/2025 Book
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