Python and R for the Modern Data Scientist: The Best of Both Worlds (Record no. 45939)

MARC details
000 -LEADER
fixed length control field 01768 a2200193 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789391043681
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 SCA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Scavetta, Rick J.
245 ## - TITLE STATEMENT
Title Python and R for the Modern Data Scientist: The Best of Both Worlds
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Shroff Publishers & Distributors Pvt. Ltd.
Place of publication, distribution, etc Mumbai
Date of publication, distribution, etc 2021
300 ## - PHYSICAL DESCRIPTION
Extent 179
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.<br/><br/>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.<br/><br/>Learn Python and R from the perspective of your current language<br/>Understand the strengths and weaknesses of each language<br/>Identify use cases where one language is better suited than the other<br/>Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows<br/>Learn how to integrate R and Python in a single workflow<br/>Follow a case study that demonstrates ways to use these languages together
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Exploration de données (Informatique)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Guides et manuels
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Handbooks and manuals
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

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