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Whether you’re new to programming or an experienced developer, it’s easy to learn and use Python. Python is an interpreted high-level programming language for general-purpose programming.

Python Tutorials will help you to up and running with Python in no time.

Numpy inner() Method in Python

Numpy inner() method is used to compute the inner product of two given input arrays. In the case of 1D arrays, the ordinary inner product of vectors is returned (without complex conjugation), whereas, in case of higher dimensions, a…

Numpy matmul() Method in Python

Numpy matmul() method is used to find out the matrix product of two arrays. In the case of 2D matrices, a regular matrix product is returned. If the provided matrices are of dimensionality greater than 2, then it is treated as a stack of…

Numpy convolve() Method in Python

Numpy convolve() method is used to return discrete, linear convolution of two 1-dimensional vectors. What does convolution mean? In mathematical terms, convolution is a mathematical operator who is generally used in signal processing. An…

Numpy correlate() Method in Python

Numpy correlate() method is used to find cross-correlation between two 1-dimensional vectors. The correlate() function which computes the correlation as generally defined in single-processing text is given as: c_{v1v2} = sum_n v1 *…

Numpy polyfit() Method in Python

Numpy polyfit() method is used to fit our data inside a polynomial function. It least squares the polynomial fit. It fits a polynomial p(X) of degree deg to points (X, Y). This method returns a vector of coefficients p that minimizes the…

Numpy linalg det() Method in Python

Numpy.linalg.det() is used to get the determinant of a square matrix. But what is the determinant of a Matrix: It is calculated from the subtraction of the product of the two diagonal elements (left diagonal - right diagonal). For example,…