Python

In this article, we explore how to leverage the new set of LLM & AI tools, in order to ask questions over Django's documentation.

Working with dates, times, timezones and daylight saving times is never straightforward. In this article we explore how to account for all of that, using Python.

In this article, we do a deep-dive into Python's faker and Django's factory_boy, to show advanced usages that can improve the quality of your tests.

In this blog post, we will be focusing on building GraphQL queries with Python. I will guide you through the steps for building a complete GraphQL query, along with pagination and filtering (using Relay mechanisms).

If we have a Django application and we are ready to release it to PyPI for others to use. But we need to make sure our manual tests are actually translated into automatic ones.

In this article, we explore how to deal with the casing mismatch between the JavaScript world (using camel case) and the Python / Django world (using snake case) using neat mixins, in combination with Django and Django Rest Framework.

We’re going to talk about underscores, dunders, encapsulation, and magic methods in Python.

In this article, we show how to up your Django testing game, by using fakes & factories.

In this article we explore the python mocking library & how this can help us write better unit tests.

Almost every Web application needs to use some third-party software. The problem we usually have to deal with is that third-party apps, like every other app, can return an error. The following article is going to show you how to handle those problems in a nice and neat way in Django with Celery.

In this post we are exploring how to integrate Google Analytics in a Django project in a configurable way, so we don't track page views & clicks while developing locally.