Python and R for the modern data scientist : (Record no. 57561)

MARC details
000 -LEADER
fixed length control field 02384cam a2200409 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260715002549.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220712t20212021cauab b 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2022276282
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020208955
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1492093408
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781492093404
035 ## - SYSTEM CONTROL NUMBER
System control number 22691349
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1237807360
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Transcribing agency BD-DhBPA
Description conventions rda
Modifying agency BD-DhBPA
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
Item number S31845 2021
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
Author mark SCP 2021
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Scavetta, Rick J.,
Relator term author.
245 10 - TITLE STATEMENT
Title Python and R for the modern data scientist :
Sub Title the best of both worlds /
Statement of responsibility, etc. Rick J. Scavetta and Boyan Angelov.
250 ## - EDITION STATEMENT
Edition statement First edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. India :
Name of publisher, distributor, etc. Shroff Publishers ,
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 179 pages :
Other physical details illustrations, maps ;
Dimensions 24 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note In the beginning -- R for Pythonistas -- Python for UseRs -- Data format context -- Workflow context -- Using the two languages synergistically -- A case study in bilingual data science.
520 ## - SUMMARY, ETC.
Summary, etc. Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. --
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
9 (RLIN) 154913
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
9 (RLIN) 154914
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
9 (RLIN) 154915
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Exploration de données (Informatique)
9 (RLIN) 154916
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Langage de programmation)
9 (RLIN) 154917
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Langage de programmation)
9 (RLIN) 154918
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
Source of heading or term fast
9 (RLIN) 154913
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
9 (RLIN) 154914
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
Source of heading or term fast
9 (RLIN) 154915
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Angelov, Boyan
Relator term author.
9 (RLIN) 154919
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Total Checkouts Full call number Barcode Date last seen Koha item type
  Dewey Decimal Classification     Bangladesh Public Administration Training Centre Library Bangladesh Public Administration Training Centre Library General Reading Room   006.3 SCP 2021 115468 07/15/2026 Books