| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1491957662 |
| Qualifying information |
(paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781491957660 |
| Qualifying information |
(paperback) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1140679459 |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
AJMA |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73.P98 |
| Item number |
M42 2018 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 McK |
| Item number |
6 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
|---|
| Classification number |
005.133 McK |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
McKinney, Wes |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Python for data analysis |
| Remainder of title |
data wrangling with pandas, NumPy, and IPython |
| Statement of responsibility, etc |
Wes McKinney |
| 246 30 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
Data wrangling with pandas, NumPy, and IPython |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Second edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Sebastopol, California |
| Name of publisher, distributor, etc |
O'Reilly Media, Inc., |
| Date of publication, distribution, etc |
2018. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 524 pages |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| Type of unit |
Paperbound book. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
"Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
First edition: October 2012. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes 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 cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, and Jupyter in the process"--Page 4 of cover. |
| 590 ## - LOCAL NOTE (RLIN) |
|---|
| Local note |
108965 |
| 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. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
0 - 99 |