NumPy for Data Scientist
With the revolution of data science, data analysis libraries like NumPy, SciPy, Pandas, etc. have seen a lot of growth. With a much easier syntax than other programming languages, python is the first choice language for the data scientist.
NumPy provides a convenient and efficient way to handle the vast amount of data. NumPy is also very convenient with Matrix multiplication and data reshaping. NumPy is fast which makes it reasonable to work with a large set of data.
NumPy performs array-oriented computing.
It efficiently implements the multidimensional arrays.
It performs scientific computations.
It is capable of performing Fourier Transform and reshaping the data stored in multidimensional arrays.
NumPy provides the in-built functions for linear algebra and random number generation.
Author : Sumit Khandelwal
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