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Friend or Foe: Comparison of R & Python in Data Wrangling & Visualisation

R and Python are partially overlapping but different as a whole: community and language. Still, comparing them in their common fields such as data wrangling and visualisation, useRs and Pythonistas will deepen mutual understanding.

R and Python have differences as many as simiralities. Through their comparisons, we can understand both languages better and use them effectively. I will take a look at some examples from de facto standard packages such as tidyverse and pandas for data munging tasks, and ggplot2 and matplotlib (and seaborn) for data visualisation.

  1. Differences between R and Python as Language

    • Procedural and object-oriented programming
    • Specific and general purpose

  2. Data Wrangling

    • tidyverse
    • pandas

  3. Data Visualisation

    • ggplot2
    • matplotlib
    • plotly

  4. Some Other Cases (depending on time and interest)

    • Machine learning
    • Deep learning
    • Big data (distributed data processing)
    • Natural language processing

  5. Conclusion

    • To be bilingual
Domain Expertise: some Python Skill Level: basic Domains: Data Science, Machine Learning, Visualisation, Statistics Abstract as a tweet:

R and Python are different in community and as language. Still, comparing them in their common fields such as data wrangling and visualisation, useRs and Pythonistas will deepen mutual understanding.