Python supports the object-oriented programming paradigm through classes. They provide an elegant way to define reusable pieces of code that encapsulate data and behavior in a single entity. With classes, you can quickly and intuitively model real-world objects and solve complex problems. If you’re new to classes, need to refresh your knowledge, or want to dive deeper into them, then this tutorial is for you! In this tutorial, you’ll learn how to: Define Python classes with the class keyword Add […]

Do you have a phone that you can unlock with your face? Have you ever wondered how that works? Have you ever wanted to build your own face recognizer? With Python, some data, and a few helper packages, you can create your very own. In this project, you’ll use face detection and face recognition to identify faces in a given image. In this tutorial, you’ll build your own face recognition tool using: Face detection to find faces in an image […]

Probability distributions describe the likelihood of all possible outcomes of an event or experiment. The normal distribution is one of the most useful probability distributions because it models many natural phenomena very well. With NumPy, you can create random number samples from the normal distribution. This distribution is also called the Gaussian distribution or simply the bell curve. The latter hints at the shape of the distribution when you plot it: