MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02657cam a22003378i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22988669 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20241202104333.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230225s2023 flu b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2022059206 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781032203256 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781032203386 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9781003263241 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
LBSOR |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
LBSOR |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA276.4 |
| Item number |
.B766 2023 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.13/3 |
| Edition number |
23/eng20230512 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Brown, Taylor R., |
| Relator term |
author. |
| 9 (RLIN) |
27269 |
| 245 13 - TITLE STATEMENT |
|---|
| Title |
An introduction to R and Python for data analysis : |
| Remainder of title |
a side by side approach / |
| Statement of responsibility, etc |
Taylor R. Brown. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
CRC Press, |
| Date of publication, distribution, etc |
c2023 |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2306 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 246pages ; |
| Other physical details |
ill. |
| Dimensions |
23cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Basic Types -- R vectors versus Numpy arrays and Pandas' Series -- Numpy ndarrays versus R's matrix and array types -- R's lists versus Python's lists and dicts -- Functions -- Categorical data -- Data frames -- Input and output -- Using third-party code -- Control flow -- Reshaping and combining data sets -- Visualization -- An introduction to object-oriented programming -- An introduction to functional programming. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"An Introduction to R and Python For Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematical statistics |
| General subdivision |
Data processing. |
| 9 (RLIN) |
27270 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language). |
| 9 (RLIN) |
25979 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language). |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Item type |
Books |
| Call number prefix |
QA276.4 |
| Call number suffix |
.B76 2023 |
