[FIXED] Which one is faster numpy or pandas?

Issue

I started learning data science and encountered the two python libraries numpy and pandas can anyone please tell what are the difference between them and which one is faster?

Solution

Pandas is an open-source, BSD-licensed library written in Python Language. Numpy is the fundamental library of python, used to perform scientific computing. When we have to work on Tabular data, we prefer the pandas module and when we have to work on Numerical data, we prefer the numpy module. The powerful tools of pandas are Data frame and Series whereas the powerful tool of numpy is Arrays. Pandas consume more memory.Numpy is memory efficient. Pandas has a better performance when number of rows is 500K or more.Numpy has a better performance when number of rows is 50K or less. Indexing of the pandas series is very slow as compared to numpy arrays. Indexing of numpy Arrays is very fast. Pandas offers 2d table object called DataFrame. Numpy is capable of providing multi-dimensional arrays.

For your question usually numpy is faster as it consumes less memory and otherwise choice between two largely depends on size of dataset.

Answered By - Ishika Mishra