
GROUP 1.
REFERENCES
https://www.upgrad.com/blog/data-science-programming-languages/
https://www.upgrad.com/blog/data-science-programming-languages/
https://www.nature.com/articles/d41586-018-07196-1
https://data-flair.training/blogs/features-of-python/
https://www.javatpoint.com/python-features
https://techvidvan.com/tutorials/features-of-python/
https://www.geeksforgeeks.org/features-of-structured-query-language-sql/
https://techvidvan.com/tutorials/r-features/
https://hevodata.com/learn/r-in-data-science/
https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/
https://arogozhnikov.github.io/2016/09/10/jupyter-features.html
https://jupyter-notebook.readthedocs.io/en/stable/notebook.html
https://towardsdatascience.com/4-simple-yet-useful-jupyter-features-you-should-know-14e5a43cf2e6
https://www.infoworld.com/article/3347406/what-is-jupyter-notebook-data-analysis-made-easier.html

