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.
Differences between R and Python as Language
- Procedural and object-oriented programming
- Specific and general purpose
Some Other Cases (depending on time and interest)
- Machine learning
- Deep learning
- Big data (distributed data processing)
- Natural language processing
- To be bilingual
Affiliation: Janssen Pharmaceutical K.K., Tokyo; Johnson & Johnson
Data Scientist at Janssen Pharmaceutical K.K., a family company of Johnson & Johnson in Tokyo. I have more than 6 years of experience and have worked at Janssen for 3 years collaborating successfully with commercial colleagues and senior management to deliver strategic insights through data science.
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