Category NumPy

Numpy.outer(): A Complete Guide

Numpy.outer(): A Complete Guide

Vectors are quite fascinating entities forming the essence of navigating around different spaces & planes used in the field of mathematics. While there can be umpteen operations that can be carried out with the vectors, in this article, we will…

How to Use Numpy Maximum on Arrays?

How to Use Numpy Maximum on Arrays?

Bigger things matter! Those are the entities that sow the seeds for biasing the results of the datasets, skewing their averages and giving the audience an illusion that is not even close to what exists in the reality. In this…

How to Use Numpy Minimum on Arrays?

How to Use Numpy Minimum on Arrays?

It is easy to pick an odd one out! But when it comes to picking the smallest one out, especially when there is an abundance of data from which the picking is to be done, there comes the hassle! To…

NumPy add – Explained in a Simple Way

NumPy add – Explained in a Simple Way

In this article, we will be exploring the NumPy add function. Have you ever thought about how we can add two numbers or two arrays of numbers using programming? Well, that’s where the Python NumPy library comes into play. In…

Numpy log2 – Base-2 logarithm of x

Numpy log2 – Base-2 logarithm of x

Hello again! In this tutorial, we would be understanding the numpy.log2() function which is an inbuilt function of the NumPy library. Also read: Numpy log10 – Return the base 10 logarithm of the input array, element-wise. What is a Logarithm?…