The world of data science is brimming with possibilities, but the tools you choose can significantly impact your efficiency and enjoyment. Let’s explore how you can leverage Kotlin, a modern and concise programming language, for your next data science project. We’ll delve into why the Kotlin ecosystem can be an attractive choice for data science…
Language models such as GPT, chatGPT, LLaMa, Bard and Alpaca are the focus of everyone’s attention and are incredibly fascinating – they provide surprisingly accurate answers to all kinds of questions, complete texts, formulate emails or summarise presentations and documents. Wouldn’t it be nice to use them on your own data?
What must be given for a group of individuals to form a functional team? A well-functioning team is an essential part of efficient software development. And recently we had an interessting discussion about group cohesion and team spirit in companies.
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…