In this tutorial I’ll show you how to use the Pandas unique technique to get unique values from Pandas data. I’ll explain the syntax, including how to use the two different forms of Pandas unique: the unique function as well as the unique method. (There are actually two different ways to use this technique in … Read more
In this tutorial, I’ll explain how to use the Pandas assign method to add new variables to a Pandas dataframe. In this tutorial, I’ll explain what the assign method does and how it works. I’ll explain the syntax, and I’ll show you step-by-step examples of how to use it. If you need something specific, you … Read more
In this tutorial I’ll explain how to use the Numpy round function (AKA, np.round). I’ll explain how the function works, and I’ll also show you some step-by-step examples of how to use it. Table of Contents: A Quick Introduction to Numpy Round The syntax of np.round Numpy Round examples You can click on any of … Read more
One of the most common questions I get from data science students is which programming language should I learn for data science, R or Python? The short answer is “it depends.” Both R and Python have strengths and weaknesses as data science languages, or as broader programming languages. So here in this blog post, I … Read more
In this tutorial, I’ll explain how to use the np.random.randn function (AKA, Numpy random randn). The tutorial is divided up into several different sections, including a quick overview of what the function does, an explanation of the syntax, and a section that shows step-by-step examples. You can click on any of the following links and … Read more
In this tutorial, I’ll explain how to use the Numpy floor function, which is sometime called np.floor. I’ll explain the syntax of np.floor and how the function works. I’ll also show you clear, step by step examples of how to use it. If you need something specific, you can click on any of the following … Read more
One of the biggest questions from data science students is what to focus on. All of us have limited time and there is a lot to learn in data science. Many overzealous students throw caution to the wind, and immediately try to learn advanced topics like machine learning. As I’ve said many times, this is … Read more
In this tutorial, I’ll show you how to use the Numpy square function, which is sometimes called np.square. The Numpy square function is fairly straight forward, but in the tutorial, we’ll explain everything step by step. You’ll learn about how the syntax works, and we’ll also show you some clear examples. Table of Contents: A … Read more
In this tutorial, I’ll explain how to use the Numpy absolute value function, which is also known as np.abs or np.absolute. Ultimately, you’ll learn how to compute absolute values with Numpy. We’ll start with a brief overview of the function, and then work with some examples. I recommend that you read the whole tutorial, but … Read more
If you’re interested in data science and want to become a data professional, you’re probably going to need to make a choice. I think that the industry is going to split – and in fact, it probably already has. This split that I’m referring to is the divide between the top performers – the top … Read more