Difference between Pandas and NumPy


Pandas

Its is an open-source, BSD-licensed library written in Python Language. Pandas provide high performance, fast, easy to use data structures and data analysis tools for manipulating numeric data and time series. Pandas is built on the numpy library and are written in languages like Python, Cython, and C. In pandas, we can import data from various formats like JSON, SQL, Microsoft Excel, etc.

Example:


Output:



Numpy

It is the fundamental library of python, used to perform scientific computing. It provides high-performance multidimensional arrays and tools to deal with them. A numpy array is a grid of values (of the same type) that are indexed by a tuple of positive integers, numpy arrays are fast, easy to understand, and give users the right to perform calculations across arrays.

Example:


Output:



Table of Difference between
Pandas vs. NumPy





Post a Comment (0)
Previous Post Next Post