NumPy and SciPy are the two most important libraries in Python. The operations are relative and hence contrasting. Both libraries have a wide range of functions. The prerequisite of working with both the libraries is to understand the python basics.

NumPy stands for Numerical Python while SciPy stands for Scientific Python. Both of their functions are written in Python language.

We use NumPy for homogenous array operations. We use NumPy for the manipulation of elements of numerical array data. NumPy hence provides extended functionality to work with Python and works as a user-friendly substitute.

SciPy is the most important scientific python library. It consists of a variety of sub-packages and hence has a collection of functions. The sun-packages support functions including clustering, image processing, integration, etc. It is a very consistent package and hence useful for numerical computations in Python.

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