This introductory article on geolocation testing is intended for quality assurance (QA) and test engineers working with web applications, and cross-platform (React Native) and native (iOS, Android) mobile applications. It offers s
Everyone in the Python community has heard about Celery at least once, and maybe even already worked with it. Basically, it’s a handy tool that helps run postponed or dedicated code in a separate process or even on a separate comp
This article is intended for engineers who use the Django framework. It gives a deep insight into configuring Django project settings, and the pros and cons of different approaches. In the article, you will also find recommendatio
We’ve all long since gotten used to third-party services within apps and platforms we use on a daily basis, and we don’t even notice them. Through an API, third-party services can be integrated with any other service to add a larg
Finding the best Django hosting to suit all of your requirements might be quite a big deal, but it's definitely worth the effort. Moreover, it's also worth trying different options and seeing what will be the best fit for you. Som
If you make a quick review of apps in various categories — healthcare, games, finance, — it will show that the device’s location plays a bigger role than whoever imagined. Services may use location data for primary functions (like
How does Uber always know the pickup location? Or how can Tinder find dates within a two-mile radius from you? It’s simple – you allowed them to know your location. Location-based apps use customers’ locations to function and con
This is an introductory tutorial on Docker containers. By the end of this article, you will know how to use Docker on your local machine. Along with Python, we are going to run Nginx and Redis containers. Those examples assume tha
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