Ruby may be over 25 years old, but it remains popular in the software community for its focus on programmer happiness. Building software with Ruby often involves leveraging one or more popular frameworks for the purpose of increasing productivity by relying on existing solutions to common problems. Ruby frameworks generally fall into two categories: web-facing frameworks and background job frameworks.

Running software uses computer memory for data structures and executable operations. How this memory is accessed and managed depends on the operating system and the programming language. Many modern programming languages manage memory for you, and Ruby is no different. Ruby manages memory usage using a garbage collector (also called gc). In this post, we’ll examine what you, a Ruby developer, need to know about Ruby’s gc. Use the links below to skip ahead in the tutorial.

These days fewer and fewer web developers get to specialize in a single language like Ruby. We use different tools for different jobs. In this article, Ayooluwa Isaiah argues that Go is the perfect complement to Ruby. The developer who knows both is in a great position to handle almost any back-end challenge.

Lambdas are a powerful feature of the Ruby language. They allow you to wrap logic and data into a portable package. In this post, we’ll cover how and when to use lambdas. You'll also learn about the difference between lambdas and Procs, and the performance profile of lambda functions. The code examples have been tested with 2.6 and 2.7 and should work with most modern Rubys.

The world is full of linear relationships. When one apple costs $1 and two apples cost $2, it's easy to figure out the price of any number of apples. But what happens when you have 100s of data points? What if your data source is noisy? That's when it's helpful to use a technique called linear regression. In this article Julie Kent shows us how linear regression works, and walks through a practical example in Ruby.

Ruby has always been known for the productivity it brings to its developers. Alongside features such as elegant syntax, rich meta-programming support, etc. that make you productive when writing code, it also has another secret weapon called TracePoint that can help you “debug” faster. In this post, I’ll use a simple example to show you 2 interesting facts I found out about debugging.

We've all worked with tightly-coupled code. If a butterfly flaps its wings in China, the unit tests break. Maintaining a system like this is...unpleasant. In this article, Jonathan Miles dives into the origins of tight-coupling. He demonstrates how you can use dependency injection (DI) to decouple code. Then he introduces a novel decoupling technique based on delegation that can be useful when DI is not an option.

RoR (Ruby on Rails) is a server-side web application framework. To make it more secure, use HTTPS instead of HTTP.

You know Big-O is important - not only for acing your next job interview but for knowing how code works at scale. But have you ever taken the time to go beyond a superficial understanding of the subject? In this article, Julie Kent uses equal parts math and Ruby to reveal the beating heart of Big-O and show us how it ticks.

Have you ever dealt with a unicode bug? Where plain text — the substance you work with all day — can no longer be trusted? It can be disorienting to say the least! This article will help prepare you so that the next time that happens you’ll be able to spend less time hyperventilating and more time troubleshooting.