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.

In this post, we’ll explore how to create Ruby modules that are configurable by users of our code — a pattern that allows gem authors to add more flexibility to their libraries. Most Ruby developers are familiar with using modules to share behavior. After all, this is one of their main use cases, according to the documentation.

We often get questions about optimizing or monitoring Sidekiq. Monitoring is kind of our game, but optimizing Sidekiq’s performance is a different ball game altogether. In reality, optimizing is complex, but let’s start by looking at the seemingly simple answers…