Base R vs Python
Developers should learn Base R as it is the prerequisite for effectively using R in data science, statistics, and research applications, enabling tasks like data cleaning, exploratory analysis, and basic modeling meets python is widely used in the industry and worth learning. Here's our take.
Base R
Developers should learn Base R as it is the prerequisite for effectively using R in data science, statistics, and research applications, enabling tasks like data cleaning, exploratory analysis, and basic modeling
Base R
Nice PickDevelopers should learn Base R as it is the prerequisite for effectively using R in data science, statistics, and research applications, enabling tasks like data cleaning, exploratory analysis, and basic modeling
Pros
- +It is essential for understanding R's object-oriented and functional programming paradigms, and for working in environments where package installation is restricted, such as in some corporate or academic settings
- +Related to: r-programming, tidyverse
Cons
- -Specific tradeoffs depend on your use case
Python
Python is widely used in the industry and worth learning
Pros
- +Widely used in the industry
- +Related to: django, flask
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Base R if: You want it is essential for understanding r's object-oriented and functional programming paradigms, and for working in environments where package installation is restricted, such as in some corporate or academic settings and can live with specific tradeoffs depend on your use case.
Use Python if: You prioritize widely used in the industry over what Base R offers.
Developers should learn Base R as it is the prerequisite for effectively using R in data science, statistics, and research applications, enabling tasks like data cleaning, exploratory analysis, and basic modeling
Disagree with our pick? nice@nicepick.dev