What makes Python stand apart from the other programming language is its awesome developers' community. It comes pre-loaded with so many tools and libraries. And it is one of the most preferred languages in the field of Data Science and Machine Learning. NumPy is a python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy is very useful for performing mathematical and logical operations on Arrays. It provides an abundance of useful features for operations on n-arrays and matrices in Python.

In this ‘Python NumPy: Scientific Computing with Python’ course, you will learn to develop an understanding of the scenarios in which NumPy is most useful. You will also be able to get grips on topics such as matrices, deviations, Eigen values, and covariance through this course. By the end of this course, you will be able to enhance the power of NumPy and boost your scientific computing capabilities.

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