MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02623cam a2200481 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
a26480744 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230521150004.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180808t20192019njua 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2018967877 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119547624 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1047804169 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDX |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
YDX |
| Modifying agency |
OCLCQ |
| -- |
JBL |
| -- |
OCLCF |
| -- |
CLE |
| -- |
VP@ |
| -- |
KAA |
| -- |
UtOrBLW |
| -- |
EG-NcFUE |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
UPMM |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73.P98 |
| Item number |
M376 2019 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 |
| Edition number |
23 |
| Item number |
M.J.P |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mueller, John, |
| Dates associated with a name |
1958- |
| Relator term |
author. |
| Authority record control number |
http://id.loc.gov/authorities/names/n91007018 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Python for data science / |
| Statement of responsibility, etc |
by John Paul Mueller and Luca Massaron. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Second edition |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Hoboken, NJ : |
| Name of publisher, distributor, etc |
John Wiley & Sons, Inc., |
| Date of publication, distribution, etc |
[2019] |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of publication, distribution, etc |
©2019 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 467 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
still image |
| Content type code |
sti |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
--For dummies |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Part 1: Getting started with data science and Python -- Part 2: Getting your hands dirty with data -- Part 3: Visualizing information -- Part 4: Wrangling data -- Part 5: Learning from data -- Part 6: The part of tens. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh96008834 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining. |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh97002073 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Quantitative research |
| General subdivision |
Computer programs. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Quantitative research |
| General subdivision |
Methodology. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining. |
| Source of heading or term |
fast |
| Authority record control number |
(OCoLC)fst00887946 |
| 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 |
| Authority record control number |
(OCoLC)fst01084736 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Massaron, Luca, |
| Relator term |
author. |
| Authority record control number |
http://id.loc.gov/authorities/names/no2016105774 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
--For dummies. |
| Authority record control number |
http://id.loc.gov/authorities/names/n92122684 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 949 ## - LOCAL PROCESSING INFORMATION (OCLC) |
|---|
| a |
QA76.73.P98 M376 2019 |
| h |
HBST3BK |
| i |
000081293759 |
| l |
STACKS-HB3 |
| m |
HARRISBURG |
| t |
BOOKFLOAT |
| w |
LC |
| 949 ## - LOCAL PROCESSING INFORMATION (OCLC) |
|---|
| a |
HA15621100 |
| w |
LC |
| m |
HARRISBURG |
| k |
ON-ORDER |
| l |
ON-ORDER |
| o |
GOBI |
| r |
Y |
| s |
Yes |
| t |
BOOK |
| 980 ## - EQUIVALENCE OR CROSS-REFERENCE-SERIES STATEMENT--PERSONAL NAME/TITLE [LOCAL, CANADA] |
|---|
| Personal name |
20190510 |
| Relator term |
$28.69 |
| Date of a work |
29741 |
| Number of part/section of a work |
307013 |