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I was searching for language comparisons of R and Python and come across a comparison of vocabularies for R and JuliaLang. This is similar to what I was looking except for a different language.
Comparing R and JuliaLang vocabularies
Does anyone know if there is a similar comparison for R and Python? In this cheat-sheat like format.
Thanks.
Update 24 July
I found this resource. There are a lot of gaps in it though.
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Python is a general-purpose language that is used for the deployment and development of various projects. Python has all the tools required to bring a project into the production environment. R is a statistical language used for the analysis and visual representation of data.
If you're passionate about the statistical calculation and data visualization portions of data analysis, R could be a good fit for you. If, on the other hand, you're interested in becoming a data scientist and working with big data, artificial intelligence, and deep learning algorithms, Python would be the better fit.
Python would be the best option because it has Pandas library that provides easy to use data structures and high-performance data analysis tools. R is more suitable for machine learning than just text analysis. Python performs faster for all types of text analytics.
Check this sheet comparing Python, R and Matlab for numeric tools:
http://mathesaurus.sourceforge.net/matlab-python-xref.pdf
it assumes you have installed numpy, scipy and matplotlib and imported then with
from pylab import *
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