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 |