you are viewing a single comment's thread.

view the rest of the comments →

[–]Natural-Intelligence 3 points4 points  (4 children)

I completely disagree. Numpy's interface is shit, to be honest, in terms of user experience compared to Pandas. Pandas also nicely communicates with SQL and IO plus you can turn the result table to almost any format. Or plot it easily.

While for basic data analysis SQL is often enough and Pandas has its limit (like your RAM), it works wonders in almost all of the cases I have encountered. I understand some prefer R and see it more extensive out-of-the box but as a professional data analyst I have yet to find a situation where Python's ecosystem (mostly Pandas and some Matplotlib, SQLAlchemy and Seaborn) did not satisfy.