Despite declarative programming styles on the rise, object-oriented programming (OOP) is clearly here to stay. After all, it still provides the most natural way of building user interfaces and lends itself to organized, systemized applications. But an understanding of OOP isn’t complete without sound knowledge of the design patterns that organize object-oriented programs.
In this article, we’ll explore the origins of these design patterns and cover the benefits of using them. We’ll also dive into three specific design patterns and how you can implement them when programming with Java.
Though we’re mostly unaware of it, our senses relentlessly work together to guide us through the world. Our vision, hearing, sense of touch and smell create mental images of the environment at every instant, helping us make basic decisions — Is it safe to cross the street? Is this sandwich still edible?
Since these processes are involuntary, we’re not aware of how complex they really are. However, the intricacy of fusing together different sensory channels reveals itself when we start teaching a machine to master the same skill.
Digital transformation is about so much more than implementing Slack in your company to streamline communication. The goal of digital transformation is to drive organizational change and support growth, and that requires the thoughtful, strategic use of technology like enterprise artificial intelligence (AI).
To drive successful digital transformation in your organization, you must first drive alignment within your leadership and people teams. This will help streamline the solution, strategy, and execution.
Despite what the phrase AI may make you think of, it’s not only a hot trend or something to be used for one-off projects. It’s a powerful tool to drive digital transformation at scale.
Let’s take a look at how AI can help transform your workforce.
Packages are an essential building block in programming. Without packages, we’d spend lots of time writing code that’s already been written. Imagine having to write code from scratch every time you wanted to parse a file in a particular format. You’d never get anything done! That’s why we always want to use packages.
In this tutorial, we’ll walk you through the terminology of Python modules and packages, before showing you how to install and use packages in your Python code. We’ll then touch on how to create your own Python packages, and uncover some easter eggs. Let’s jump right in!