The where() in pandas and NumPy is used to filter Data Frames based on a condition. We will discuss this important topic in this tutorial....

Hardly you will come across a dataset that is free from missing values. Missing values can be encoded in a number of ways. Sometimes when...

In this tutorial, we will practice adding column(s) to a Data Frame. But first, we need to import pandas and NumPy to be able to...

The apply function lets you run a function on all the elements of a pandas series/column. It lets you apply a function on either the rows...

In this project, we will take a look at a dataset of The Office episodes, and try to understand how the popularity and quality of the...

In python, a variable is only accessible from inside the area it has been created in. The term `Scope` is used to describe this logic. A...

Imagine you have a list named `prices` below prices = [20, 25, 35, 40, 45, 70] And you want to implement a 5% discount on all the prices...

In this blog, I will write about a simple but interesting program I wrote to calculate the sum of all the numbers within a given range. I...

According to Wikipedia, the Fahrenheit scale is a temperature scale based on one proposed in 1724 by the physicist Daniel Gabriel...