For the development of applications, it can be very useful to provide an API via a local web server delivering predefined data. Especially for testing and rapid prototyping, it is highly recommended to use a mocked API instead of requesting a production system. Today I will show you how to create a local mock server…
In all computationally intensive tasks, sooner or later, the topic of parallelisation comes into focus. Python offers a variety of ways to achieve this – all with strengths but also weaknesses. In the following, I want to present some approaches with a focus on one framework: joblib. It allows the parallelisation and reusability of intermediate…
Do you want to get quick insights from a large dataset? Just use Python – it has all the tools you need to load, transform and visualise complex data with just a few lines of code. This post will show you how you can quickly create a professional visualisation from your data using Pandas and…