| 000 -LEADER |
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| fixed length control field |
02910cam a2200517 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
23792222 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20241021102123.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240720t20222022maua 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2023549174 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC2D5219 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
020700153 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781098104030 |
| Qualifying information |
(paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
109810403X |
| Qualifying information |
(paperback) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)on1338676391 |
| 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 |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73.P98 |
| Item number |
M42 2022 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
280 SCB |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
McKinney, Wes, |
| Relator term |
author. |
| 9 (RLIN) |
126389 |
| 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. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Beijing : |
| Name of producer, publisher, distributor, manufacturer |
O'Reilly, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2022] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 561 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 336 ## - CONTENT TYPE |
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still image |
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sti |
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rdacontent |
| 337 ## - MEDIA TYPE |
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unmediated |
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n |
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rdamedia |
| 338 ## - CARRIER TYPE |
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volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Previous edition: 2017. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
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." -- |
| Assigning source |
Provided by publisher |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Programming languages (Electronic computers) |
| 9 (RLIN) |
3683 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
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Data mining. |
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|---|
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Exploration de données (Informatique) |
| 9 (RLIN) |
82057 |
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Python (Langage de programmation) |
| 9 (RLIN) |
126390 |
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Programming languages (Electronic computers) |
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fast |
| 9 (RLIN) |
3683 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
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Data mining |
| Source of heading or term |
fast |
| 9 (RLIN) |
126391 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| Source of heading or term |
fast |
| 9 (RLIN) |
126392 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="http://10.250.8.41:8080/xmlui/handle/123456789/47289">http://10.250.8.41:8080/xmlui/handle/123456789/47289</a> |
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7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
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ncip |
| f |
20 |
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y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
|
| Koha item type |
Book |
