R vs Python for Data Science: Which Analytics Tool Should You Choose?

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Our last blog talked about how R can be compared with Python basis its history, use for Data visualisation, Data handling capacity, Speed and Ease of Learning. This time lets talk about some other features

 RPython
PurposeR is a statistical modelling tool basically meant for statisticians.Python is a general purpose programming language, compatible across all platforms

 

Integrated Development Environment

 

RStudio, Rattle, Visual Studio for R, Eclipse, etc.

 

Pycharm, Pydev, Spyder, IPython Notebook, etc.

 

Flexibility

 

R can compute statistical models using few lines of codes. Moreover majority of statistical tests are available as packages in R

 

Python is flexible in computing algorithms, scripting websites, making softwares, building apps, etc.

 


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