Python vs. R for data science /

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 re...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Grogan, Michael (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Sebastopol, CA : O'Reilly Media, [2018]
Édition:First edition.
Sujets:
Python (Computer program language)
R (Computer program language)
Data mining.
Machine learning.
Data Mining
Machine Learning
Python (Langage de programmation)
R (Langage de programmation)
Exploration de données (Informatique)
Apprentissage automatique.
Data mining
Machine learning
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Description
Résumé: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.
Description:"Comparisons"--Cover
Description matérielle:1 online resource (1 volume)

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