Python Modules

In this article, we understand and implement numpy.copysign() which is a NumPy function, as NumPy is an array processing package numpy.copysign() used to change signs of two given arrays. What is numpy.copysign()? The numpy.copysign() function in NumPy is used to convert the sign of an input array x1 to that of another x2 element-wise. Syntax Parameter Parameter […]

In this article we implement numpy diff which is a function of the NumPy module in python. NumPy is an array-processing package that provides a high-performance multidimensional array object, and tools for working with these arrays. And we implement NumPy diff to calculate the nth discrete difference along the given axis. Also read: Numpy ediff1d

In this article, we implement the NumPy real_if_close function of the NumPy package in python. Numpy consists of functions that can be utilized to perform operations on an array, numpy real_if_close returns the real part of a complex imaginary input. Below understand the syntax of NumPy real_if_close and implements a few of its examples. What

Hello! In this tutorial, we are going learn about the ldexp method present in the NumPy module in Python. In our previous tutorials, we have learnt about the NumPy functions exp() and exp2(). We know that, the exp(x) function returns e^x, where e is Euler’s constant having the value of approximately 2.718281 and the exp2(x)

NumPy stands for numerical python and offers various mathematical functions to work on arrays and multidimensional matrices. With the help of this open-source package, you may conduct a wide range of intricate mathematical operations on arrays or matrices. The modf() function is a useful addition to your toolset whether you are working with numerical data in

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

In this tutorial, we are going to learn how to raise a matrix to a given power in linear algebra by using the linalg.matrix_power method in Python present in the NumPy module. The numpy.linalg.matrix_power() method is used to raise a square matrix to an integer power n.  Let us see the syntax of the function

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

Hey everyone! Welcome to another tutorial on NumPy functions. In this tutorial, we will explore the NumPy multiply function in detail. We all do multiplication operations in our daily life. Be it our mathematics class or the calculations done by the shopkeeper to keep track of the items in the shop. Today we will see

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