Data analysis with Python : (Record no. 11086)

MARC details
000 -LEADER
fixed length control field 01713nam a22002777i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250723111203.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250723s2022 ii ao||fr|||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355510655
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GaU‬‬
Transcribing agency EG-GaU‬‬
Modifying agency EG-GaU‬‬
Description conventions rda
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 005.74
Item number d.r.d.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dixit, Rituraj,
Relator term author.
9 (RLIN) 60478
245 10 - TITLE STATEMENT
Title Data analysis with Python :
Remainder of title introducing NumPy, Pandas, Matplotlib, and essential elements of Python programming /
Statement of responsibility, etc. Rituraj Dixit.
250 ## - EDITION STATEMENT
Edition statement 1st edition.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New Delhi :
Name of producer, publisher, distributor, manufacturer BPB Publications,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 276 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.<br/>
505 #0 - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introducing Python ‡ 2. Environment setup for development ‡ 3. Operators and built‑in data types ‡ 4. Conditional expressions in Python ‡ 5. Loops in Python ‡ 6. Functions and modules in Python ‡ 7. Working with files I/O in Python ‡ 8. Introducing data analysis ‡ 9. Introducing Pandas ‡ 10. Introduction to NumPy ‡ 11. Introduction to Matplotlib ‡ 12. Connecting dots: step‑by‑step data analysis hands‑on use case.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. An absolute beginner’s guide to Python‑based data analysis covering core programming, Pandas, NumPy, and Matplotlib, with practical examples for real‑world file handling and data visualization. :contentReference[oaicite:0]{index=0}<br/>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data analysis
General subdivision Study and teaching.
9 (RLIN) 60479
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
General subdivision Study and teaching.
9 (RLIN) 60480
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 Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Media and mass communication Library Media and mass communication Library B3 08/19/2025   005.74 d.r.d MA0002512 08/19/2025 C.1 08/19/2025 Books