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NumPy is a Python library used to perform numerical computations with large datasets. Numpy stands for Numerical Python and it is a popular library used by data scientists, especially for machine learning problems. NumPy is useful during pre-processing the data before you train it using a machine learning algorithm.
Working with n-dimensional arrays is easier in Numpy compared to Python lists. Numpy arrays are also faster than Python lists since unlike lists, NumPy arrays are stored at one continuous place in memory. This enables the processor to perform computations efficiently with NumPy arrays.
In this article, we will look at the basics of working with Numpy including array operations, matrix transformations, generating random values, and so on. …
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