Introduction Some functions have no arguments, others have multiple. There are times we have functions with arguments we don’t know about beforehand. We may have a variable number of arguments because we want to offer a flexible API to other developers or we don’t know the input size. With Python, we can create functions to accept any amount of arguments. In this article, we will look at how we can define and use functions with variable length arguments. These functions […]

Introduction Python 3.6 introduced a new way to format strings: f-Strings. It is faster than other string formatting methods in Python, and they allow us to evaluate Python expressions inside a string. In this post, we’ll look at the various ways we can format strings in Python. Then we’ll have a deeper look at f-Strings, looking at how we can use it when displaying different data. Traditional String Formatting in Python Before we get into f-Strings, let’s have a look […]

Introduction Python Templates are used to substitute data into strings. With Templates, we gain a heavily customizable interface for string substitution (or string interpolation). Python already offers many ways to substitute strings, including the recently introduced f-Strings. While it is less common to substitute strings with Templates, its power lies in how we can customize our string formatting rules. In this article, we’ll format strings with Python’s Template class. We’ll then have a look at how we can change the […]

Introduction For most people, Bubble Sort is likely the first sorting algorithm they heard of in their Computer Science course. It’s highly intuitive and easy to “translate” into code, which is important for new software developers so they can ease themselves into turning ideas into a form that can be executed on a computer. However, Bubble Sort is one of the worst-performing sorting algorithms in every case except checking whether the array is already sorted, where it often outperforms more […]