UID:
almafu_9959328853602883
Format:
1 online resource (xxiii, 343 pages).
ISBN:
9781119126805
,
1119126800
,
9781119126775
,
1119126770
Series Statement:
ITpro collection
Content:
Short on theory and long on actionable analytics, this definitive guide provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations of R to Python and Python to R. --
Note:
Introduction to Python R and data science -- Data input -- Data inspection and manipulation -- Exploratory data analysis -- Statistical modeling -- Data visualization -- Machine learning and data mining.
Additional Edition:
Print version: Ohri, A. (Ajay). Python for R users. Hoboken, NJ : John Wiley & Sons, 2017 ISBN 9781119126768
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119126805
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119126805
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119126805
