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The usage statistics posted on several websites depict that Python is currently more popular than R. However, Python is a general purpose programming language. It is used widely by developers for building desktop GUI applications and web applications, in addition to data analysis and predictive modelling. On the other hand, R was designed specifically with features to facilitate statistical computing and data analysis.
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The usage statistics posted on several websites depict that Python is currently more popular than R. However, Python is a general purpose programming language. It is used widely by developers for building desktop GUI applications and web applications, in addition to data analysis and predictive modelling. On the other hand, R was designed specifically with features to facilitate statistical computing and data analysis.
Many data analysts prefer Python and R to other programming languages. Both Python and R are open source programming languages. Both programming languages allow data analysts to avail a wide range of data analysis libraries and frameworks. But the smarter data analysts always keep in the mind the pros and cons of both Python and R. They even evaluate the pros and cons of each programming language based on precise project needs.