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 […]

While many people went hunting for Easter eggs, the Python community stayed active through March 2024. The free-threaded Python project reached a new milestone, and you can now experiment with disabling the GIL in your interpreter. The Python Software Foundation does a great job supporting the language with limited resources. They’ve now announced a new position that will support users of PyPI. NumPy is an old workhorse in the data science space. The library is getting a big facelift, and […]

A straightforward way to distribute desktop and command-line applications written in Python is to publish them on the Python Package Index (PyPI), which hosts hundreds of thousands of third-party packages. Many of these packages include runnable scripts, but using them requires decent familiarity with the Python ecosystem. With pipx, you can safely install and execute such applications without affecting your global Python interpreter. To help you get to grips with pipx, you can download the supplemental materials, which include a […]

There’s an abundance of third-party tools and libraries for manipulating and analyzing audio WAV files in Python. At the same time, the language ships with the little-known wave module in its standard library, offering a quick and straightforward way to read and write such files. Knowing Python’s wave module can help you dip your toes into digital audio processing. If topics like audio analysis, sound editing, or music synthesis get you excited, then you’re in for a treat, as you’re […]

If your NumPy-based code is too slow, you can sometimes use Numba to speed it up. Numba is a compiled language that uses the same syntax as Python, and it compiles at runtime, so it’s very easy to write. And because it re-implements a large part of the NumPy APIs, it can also easily be used with existing NumPy-based code. However, Numba’s NumPy support can be a trap: it can lead you to missing huge optimization opportunities by sticking to […]