Python

The numpy.where() function in Python’s NumPy library is used for element-wise conditional operations on arrays. It allows us to apply conditions to elements in an array and return elements from different arrays based on those conditions. Using numpy.where() function we can find indices where a condition is True which will help to locate a particular […]

Vectors play an important role in the field of mathematics for helping with the navigation around different spaces & planes. This article shall set out to explore one of the many functions that can be carried out with vectors in Python programming – the outer( ) function from the numpy library. Before that let us set things

Multiplication is the fundamental arithmetic operation that we utilize when we have two numbers or arrays and we need a product of both. In machine learning, we have large datasets to handle so we cannot do manual multiplication using calculators or basic operators. Here comes numpy.multiply() function. In this article, we will understand Python numpy.multiply() function, its syntax, and

It is time for us to delve into the vast library of Python packed with numerical functions – the numpy library and this time, we will explore a rather strange function. It is very strange that at first sight, one might mistake it to be an abomination within Python. The function of interest would be

Roll the calendar a few centuries back until you land in 1817. It was the very same year that a German who was an astronomer by profession was taking a close look at the planetary movements in space. Known by the name, Friedrich Wilhelm Bessel he went on to refer to the magnum opus of

NumPy is a famous Python library used to perform various types of mathematical operations on elements of multi-dimensional arrays. It is a fundamental package when it comes to scientific computing with Python. In this article, we’ll look at three ways of inverting elements of a boolean array with NumPy along with some examples for better

The field of data analytics has gone leaps and bounds within a short period of time. Technological advancements in the domain of computation have introduced new techniques to boost the efficiency at which data analysis is carried out. This article shall elaborate on a particular function from the pandas library of Python that makes life

When the pandas library is already in possession of a function to cut any given dataset, which is cut( ), why on Earth does it offer another by the name qcut( )? We shall explore just that in this article. What’s more, is that we shall get to know about the nuances and the thin

One such area where several libraries have been created in Python is data visualization in which Matplotlib is the most often used option. Although Matplotlib was first designed to plot 2D charts like histograms, bar charts, scatter plots, line plots, etc., it has now expanded its functionality to include 3D charting modules. When displaying data

In our daily life when we play a ludo game and throw a dice any number can come between one to six. The number will be totally random we can not predict it. If we knew then definitely it would be no fun to us in playing those games. So that is what randomization is.