NumPy is an open-source, versatile general-purpose package used for array processing. It is short of Numerical Python. It is known for its high-end performance with powerful N-dimensional array objects and the tools it is loaded with to work with arrays. The package is an extension of Python and is used to perform scientific computations and other broadcasting functions.
NumPy is easy to use, well-optimized and highly flexible.
Pandas is defined as an open-source library that provides high-performance data manipulation in Python. The name of Pandas is derived from the word Panel Data, which means Econometrics from Multidimensional data. It can be used for data analysis in Python.
It can perform five significant steps that are required for processing and analysis of data irrespective of the origin of the data, i.e., load, manipulate, prepare, model, and analyze.
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