The two most significant Python libraries are NumPy and SciPy. Both libraries contain a large number of functions. SciPy stands for Scientific Python, whereas NumPy stands for Numerical Python. Python is used to write both of their functions. For homogeneous array operations, we utilize the NumPy library NumPy is used to manipulate elements of numerical array data. As a result, NumPy extends Python's capability and serves as a user-friendly replacement. The most significant scientific Python library is SciPy. It has a collection of functions since it is made up of several sub-packages. Clustering, image processing, integration, and other operations are supported by the packages. It's a pretty consistent library. Therefore it's great for numerical Python computations.