Pralaya Samal

In this article, We will solve one straightforward problem “How to get the base 10 logarithm of an input array, element-wise”. We are going to obtain the logarithmic values of base 10 for elements comprised in an array. You can much better understand by analyzing the example below. Let us assume an array, input[2.35, 0, 0.36, 1, 5.69, 1000, 10] – […]

Today, we will learn how to implement the inverse hyperbolic function element-wise. This will include seeing the formula, the function, and the required library. We will also learn the domain and range for this function. Finally, we will have some examples of implementing our function in our code snippet. Also read: NumPy Arctan – A

In this tutorial, we are going to be discussing how to return the ceiling of an input today. This is going to be done by using python and google collab. Recall that you have probably tried the greatest integer function and the smallest integer function when you were younger. The ceil function is the smallest

Today we will learn how to take the floor value of an input element-wise! This means that we will be handling data element by element. We will understand how the function processes our inputs in an array or matrix form. We will also understand its implementation for all input cases. We will let the function

Today, we’ll learn how to get the truncated value of inputs on our computer using the trunc() function. This function is similar to the ceiling and floor functions, but with a slightly different domain and range. To use this function, we need to import the NumPy module. Once we have imported NumPy, we can use

We are going to solve a very exciting problem today! We will take two arrays of the same length each. For each value of the first array, we will raise the power to the same value as the corresponding value of the second array. Let us understand this one theoretically. We have two arrays Let

It’s time for the element-wise Numpy hyperbolic tangent function. We are going to use our google collab for the same. Most of us have already experienced working in google collab right? It gives us a better user-friendly platform to work on python language. Let us get started. Also read: Numpy cosh – Hyperbolic cosine, element-wise

Today We are going to learn an interesting topic which is “How to implement the Hyperbolic cosine function using Python”. You must be aware of all trigonometric functions and related terminologies as well as their corresponding angle concepts earlier. You must have solved trigonometric problems when you are being a kid. Also read: Numpy sinh

You must have heard about hyperbolic functions. If not, you might be familiar with trigonometric functions such as sine, cosine, tangent, cotangent, secant, and cosecant and the others like hypotenuse, base, and perpendicular. Also read: NumPy Tan – A Complete Guide Today we are going to learn about the sine hyperbolic function. Before getting into