In this tutorial, I’ll explain how to use the Numpy divide function – AKA np.divide – to divide the values of one Numpy array by another. I’ll explain the syntax of np.divide, how the function works, and how to use it. If you need something specific, you can click on any of the following links. … Read more
In this tutorial, I’ll explain how to use the Numpy multiply function – AKA np.multiply – to multiply matrices together. I’ll explain the syntax of np.multiply, how the function works, and how to use it. If you need something specific, you can click on any of the following links. Table of Contents: Introduction to Numpy … Read more
In this tutorial, I’ll show you how to use the Numpy dot function (np.dot), to compute dot products in Numpy. I’ll explain exactly what the function does, how the syntax works, and I’ll show you clear examples of how to use np.dot. Table of Contents: Introduction Syntax Examples FAQ If you need something specific, you … 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
In this tutorial, you’ll learn how to use the Numpy log function to calculate logarithms in Python. This tutorial will explain the syntax of np.log, and it will also show you step-by-step examples of Numpy log that you can run yourself. If you have something specific that you need, you can click on any of … Read more
Recently, a Sharp Sight blog reader emailed me and asked for advice about data science prerequisites. He was nervous about math. Someone had told him that in order to study data science, he needed to learn a long list of math topics first: Precalculus Calculus Multi variable calculus Trigonometry Linear algebra Differential equations Statistics Although … Read more