Python for data analysis : (Record no. 57804)

MARC details
000 -LEADER
fixed length control field 02556nam\a2200409\a\4500
001 - CONTROL NUMBER
control field 57804
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhIUB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260517151517.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field t|
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260517t20222022maua 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781098104030
Qualifying information paperback
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 109810403X
Qualifying information paperback
040 ## - CATALOGING SOURCE
Original cataloging agency UKMGB
Language of cataloging eng
Description conventions rda
Transcribing agency UKMGB
Modifying agency OCLCF
-- IMD
-- JOZ
-- SISPL
-- QGE
-- UKMGB
-- LML
-- VNVGU
-- OCL
-- TRC
-- OCLCO
-- DLC
-- DLC-MRC
-- BD-DhIUB
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 23
Item number M1583p
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name McKinney, Wes
Relator term author
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Python for data analysis :
Remainder of title data wrangling with pandas, NumPy, and Jupyter /
Statement of responsibility, etc Wes McKinney.
250 ## - EDITION STATEMENT
Edition statement Third edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New Delhi:
Name of publisher, distributor, etc Shroff Publishers and Distributors Pvt.Ltd.,
Date of publication, distribution, etc 2022
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 561 pages
Other physical details illustrations
Dimensions 24 cm
500 ## - GENERAL NOTE
General note Previous edition: 2017.
500 ## - GENERAL NOTE
General note Includes index.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preliminaries -- 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 ## - SUMMARY, ETC.
Summary, etc "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." -- Provided by publisher
526 ## - STUDY PROGRAM INFORMATION NOTE
School name School of engineering, Technology &Sciences
Department Physical Science
Shelving Location Reference Stacks
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Source of acquisition law
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming languages (Electronic computers)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Exploration de données (Informatique)
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Langage de programmation)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming languages (Electronic computers)
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
Source of heading or term fast
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Serial Enumeration / chronology Total Checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Library, Independent University, Bangladesh (IUB) Library, Independent University, Bangladesh (IUB) Reference Stacks 07/05/2026 Purchase 2449.00 2022   006.312 M1583p 029692 17/05/2026 01 4898.00 07/05/2026 Books
    Dewey Decimal Classification   Not For Loan Library, Independent University, Bangladesh (IUB) Library, Independent University, Bangladesh (IUB) Reference Stacks 07/05/2026 Purchase 2449.00 2022   006.312 M1583p 029693 14/06/2026 02 4898.00 07/05/2026 Books