Python vs. R for Data Science / Grogan, Michael.

Format:

Book

Author/Creator:

Grogan, Michael, author.

Language:

English

Subjects (All):

Python (Computer program language).

R (Computer program language).

Data mining.

Machine learning.

Physical Description:

1 online resource (3 pages)

Edition:

1st edition

Other Title:

Python versus R for data science

Place of Publication:

O'Reilly Media, Inc., 2018.

System Details:

text file

Summary:

Python and R are two of the mainstream languages in data science. Fundamentally, Python is a language for programmers, whereas R is a language for statisticians. In a data science context, there is a significant degree of overlap when it comes to the capabilities of each language in the fields of regression analysis and machine learning. Your choice of language will depend highly on the environment in which you are operating. In a production environment, Python integrates with other languages much more seamlessly and is therefore the modus operandi in this context. However, R is much more common in research environments due to its more extensive selection of libraries for statistical analysis.

Notes:

Online resource; Title from title page (viewed June 15, 2018)

"Comparisons"--Cover.

ISBN:

9781492033943

1492033944

OCLC:

1046057472