Norm of a Vector in Python – Steps for Calculation
Norm of a Vector in Python – Steps for Calculation The norm of a vector refers to the length or the magnitude of a vector. There are different ways to…
NumPy Matrix Multiplication
NumPy Matrix Multiplication This can be done by the following three methods. multiply(): element-wise matrix multiplication. matmul(): matrix product of two arrays. dot(): dot product of two arrays. Content1 1.…
NumPy Matrix transpose() in Python – Tutorial
NumPy Matrix transpose() in Python – Tutorial The transpose of a matrix is obtained by moving the rows data to the column and columns data to the rows. If we…
NumPy sqrt() in Python – Tutorial
NumPy sqrt() in Python – Tutorial Python NumPy module is used to work with multidimensional arrays and matrix manipulations. We can use NumPy sqrt() function to get the square root…
numpy.append() in Python – Tutorial
Python numpy.append() Function – Easy Array Concatenation The Python numpy.append() function allows for array concatenation and is especially useful when processing data efficiently. It returns a new array while keeping…
numpy.cumsum() in Python – Tutorial
numpy.cumsum() in Python – Tutorial Python numpy cumsum() function returns the cumulative sum of the elements along the given axis. Content1 Python numpy.cumsum() syntax2 Python numpy.cumsum() Examples Python numpy.cumsum() syntax…
numpy.ones() in Python – Tutorial
numpy.ones() in Python Python numpy.ones() function returns a new array of given shape and data type, where the element’s value is set to 1. This function is very similar to…
numpy.square() in Python – Tutorial
numpy.square() in Python – Tutorial Python numpy.square() function returns a new array with the element value as the square of the source array elements. The source array remains unchanged. Content1…
numpy.sum() in Python – Tutorial
numpy.sum() in Python – Tutorial Python numpy sum() function is used to get the sum of array elements over a given axis. Content1 numpy.sum() in Python syntax2 numpy.sum() in Python…