Author: k A

In this chapter, we will discuss about NumPy - Determinant. The determinant is a very useful value in linear algebra. It is calculated from the diagonal elements of a square…

In this chapter, we will discuss about NumPy-matmul. The numpy.matmul() function returns the matrix product of two arrays. While it returns a normal product for 2-D arrays, if dimensions of either argument…

In this chapter, we will discuss about NumPy-inner. This function returns the inner product of vectors for 1-D arrays. For higher dimensions, it returns the sum-product over the last axes.…

In this chapter, we will discuss about NumPy-vdot. This function returns the dot product of the two vectors. If the first argument is complex, then its conjugate is used for…

In this chapter, we will discuss about NumPy-dot. This function returns the dot product of two arrays. For 2-D vectors, it is the equivalent to matrix multiplication. For 1-D arrays,…

NumPy - Linear Algebra. NumPy package contains numpy.linalg module that provides all the functionality required for linear algebra. Some of the important functions in this module are described in the following table.…

In this chapter, we will discuss about NumPy - Matrix Library. This package contains a Matrix library numpy.matlib. This module has functions that return matrices instead of ndarray objects. NumPy -…

In this chapter, we will discuss about NumPy - Copies & Views. While executing the functions, some of them return a copy of the input array, while some return the…

In this chapter, we will discuss NumPy - Byte Swapping. We have seen that the data stored in the memory of a computer depends on which architecture the CPU uses.…

In this chapter, we will discuss about NumPy - Sort Search & Counting Functions. A variety of sorting related functions are available in NumPy. These sorting functions implement different sorting…