But, Python and R also bring their own unique strengths to data science, making it harder to decide which to use. R vs. Python: The main differences.

The Python Package Index (PyPI) currently has over 183,000 projects, greatly outnumbering R packages available on the Comprehensive R Archive Network (CRAN). According to CRAN, there are 14,385 ...

You might be wondering what a Python “package” is, and how it relates to the Python module. Essentially, a package is a group of modules with an __init__.py fie that ties them all together.

In graphical capabilities, both R and Python possess advanced graphical capabilities and they use the support of many frameworks and packages that would provide them better graphical capabilities.

Tiobe analysts contend that R's decline in its index signals a consolidation of the market for statistical programming languages, and the winner of this shift is Python.