Arulius Savio

Working with matrices is always fascinating. The numpy library has a ton of functions that helps with carrying out complicated calculations using matrices. In this article, we shall demonstrate one such function that decomposes a given matrix into a pair of entities. This process is called factorization of a matrix & the function of interest […]

This article will talk about the Numpy i0 function. The year was 1817. It was a fine evening when a German astronomer by the name of Friedrich Wilhelm Bessel was taking a closer look at the movement of planets. Well, what else could he have referred to rather than the most advanced source available around

This article would be covering a rather strange function within the numpy library of Python. It is so strange that at prima facie one might even question its very existence. Enter the numpy.positive( ) function! It returns the element-wise numerical positive for the input array. Makes sense right? But, here is the catch! It does

There are many articles in AskPython detailing the various functions that the numpy library of Python has got to offer. In this article, we shall explore one which combines the logarithmic and exponential functions to the base of 2 – the logaddexp2( ) function. Let’s get things started by first importing the numpy library using the

With a series of articles in AskPython elaborating on the various functions available within the numpy library of Python, here’s another one with combines logarithms and exponentials! Let’s get things started by first importing the numpy library using the following code. Thereafter, we shall explore the logaddexp( ) function further through each of the following sections. Syntax

With a series of articles in AskPython elaborating on the various functions available within the numpy library of Python, it is time to say hello to logarithms! Before getting to know about the function in Python let’s try to understand what a logarithm is & why bother to use one. Say, we have a number

Euler’s number, also known as ‘e’, is an important mathematical constant that was named after the 18th century mathematician, Leonhard Euler. This number has been estimated to have over a trillion digits of accuracy and is an important tool in mathematical calculations. 2.718281828459045…… Euler’s number The dots at the end indicate that the number of

Looking for a function to return the next floating point value of a given number in the direction of another number? Do you want the same function to carry out the same with a collection of numbers rather than a single number? Well, look no further for the numpy library has got just the thing

Let us say we are given a pair of matrices and would like to transform one matrix at the expense of the other. What this means is to scale one matrix using the elements of the other. The mathematical process of making this happen is called the ‘Kronecker Product’ and the NumPy library in Python

This article will help you to understand how to calculate a tensor dot product using the tensordot( ) function from the numpy library. Once a pair of tensors whose dot product is to be found are fed as inputs in the form of arrays, the tensordot( ) function sums the products of a’s and b’s