Python is exceptionally flexible as a scripting language - let's learn how to extend simple scripts into full-featured command line utilities.

If you're not careful, your Python environment can quickly become a disaster. We'll walk through the available tools to be more (code) environmentally friendly and establish some (highly opinionated) preferences for setting up Python.

Learning is a very personal thing. Learning a language is even more so. In this post, I discuss my approach to learning new programming languages in the hope that you will be empowered to find your own way to learn new languages.

As a polygot programmer, I often find myself needing to write code in a language for which I don't have a development environment setup. Usually, this is for a small or short term project. When these situations arise, I use docker to avoid spending time setting up a full development environment that I may never use again.

A hashing function is a one-way function that takes some input and returns a deterministic output. The output is often referred to as a digest, a hash code, or simply a hash.

You may have heard about the benefits of immutable objects, especially from the functional programming crowd. But creating and working with immutable objects in a language like C# can be tricky.

Null references can be a source of subtle bugs in software. Maybe is a tool that, while deceptively similar, provides much greater safety.

In an era where password breaches are all too common, it's easy to be concerned about what companies do with user passwords. Unfortunately, in most cases it's a black-box scenario where we can only guess at what's going on under the hood based on clues like character or length restrictions.