Integrating Both Python & R into Data Science Workflows

Wed, 23 Jun 2021 18:28:01 +0000

These days, I highly prefer coding in Python as compared to other languages that I previously used like Matlab or R. However, I have always wondered when data science teams should use one programming language over another for certain tasks. If all team members know R and Python equally well and need to train a machine learning model, which language should they use? How could they use both Python and R without redundancies? We will discuss how to best leverage both R and Python for building data science workflows. Firstly, it really helps to know the strengths and weaknesses of Python and R. Python has overtaken R in popularity for machine learning, but R is pretty awesome at visualizing data as plots and/or dashboards. Deciding whether to exclusively use Python or R on a data science project is a big hairy topic and the answer depends on a number of factors, but this article provides lots of guidance to help data scientists make an informed decision.

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Integrating Both Python & R into Data Science Workflows