MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01254nam a22002537a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240209020002.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
231214b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781098104030 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
IIITD |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.312 |
| Item number |
MCK-P |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
McKinney, Wes |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Python for data analysis : |
| Remainder of title |
data wrangling with pandas, NumPy & Jupyter |
| Statement of responsibility, etc |
by Wes McKinney |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
3rd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Shroff Publishers, |
| Place of publication, distribution, etc |
Mumbai : |
| Date of publication, distribution, etc |
©2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 561 p. : |
| Other physical details |
ill. ; |
| Dimensions |
23 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
This book includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
1. Preliminaries |
| -- |
2. Python language basics, IPython, and Jupyter notebooks |
| -- |
3. Built-in data structures, functions, and files |
| -- |
4. NumPy basics: arrays and vectorized computation |
| -- |
5. Getting started with pandas |
| -- |
6. Data loading, storage, and file formats |
| -- |
7. Data cleaning and preparation |
| -- |
8. Data wrangling: join, combine, and reshape |
| -- |
9. Plotting and visualization |
| -- |
10. Data aggregation and group operations |
| -- |
11. Time series |
| -- |
12. Introduction to modeling libraies in Python |
| -- |
13. Data analysis examples |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Programming languages (Electronic computers) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python 3.6 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Koha issues (borrowed), all copies |
2 |
