Members of both camps believe that their choice of language. There major two camps- R camp and Python camp-and history is the testimony that camps can not livel in harmony. Because data analysts have divided the data science field into camps based on the choice of the programming language they are familiar with. One major reason for such view lies on the experts.
Truth be told, R and Python are excellent tools in ther own right but are often conceived as rivals. However, instead of considering them as tools that supplement each other, more often you will find people dealing with data claim one language to be better than the other. Both R and Python are quite robust languages and either one of them is actually sufficient to carry out the data analysis task.
If you work with data science, R and Python must be the two programming languages that you use the most.
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