Question

"PyData and Data sciences". What is your stand on the integration of data sciences using PyData approach? Do you think this integration approach will increase and facilitate adoption of "R" programming model? Please discuss.

Answer 1

As we know that PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

So the approach of PyData is the more numerical and statistical way to solve the sophisticated problem easily and provide it open-source.

The Integration of PyData and Data Sciences will lead to solve the complex problem very easily and will be very good for the Data Science community and Business running across the world.

I think that this integrated approach will increase and facilitate the adoption of the "R" programming model because PyData solve things more numerical way and it is part NUMfocus group, whom mission is to promote open practices in research, data, and scientific computing by serving as a fiscal sponsor for open source projects and organizing community-driven educational programs.

R is more statistical language in comparison to python, so it will be adopted after the integration of PyData and Data Sciences.