You’ll often need to format and round a Python float to display the results of your calculations neatly within strings. In earlier versions of Python, this was a messy thing to do because you needed to round your numbers first and then use either string concatenation or the old string formatting technique to do this for you. Since Python 3.6, the literal string interpolation, more commonly known as a formatted string literal or f-string, allows you to customize the content […]

Are you a regular Django user? Do you find yourself wanting to decouple your back end and front end? Do you want to handle data persistence in the API while you display the data in a single-page app (SPA) in the browser using a JavaScript framework like React or Vue? If you answered yes to any of these questions, then you’re in luck. This tutorial will take you through the process of building a Django blog back end and a […]

Pydantic’s primary way of defining data schemas is through models. A Pydantic model is an object, similar to a Python dataclass, that defines and stores data about an entity with annotated fields. Unlike dataclasses, Pydantic’s focus is centered around automatic data parsing, validation, and serialization. The best way to understand this is to create your own models, and that’s what you’ll do next. Working With Pydantic BaseModels Suppose you’re building an application used by a human resources department to manage […]