Seven tips to take you to the next level — Python is the most widely used programming language in the data science domain, and its popularity continues to grow. The entire data science field has grown enormously in recent years. In this article, we will show you seven tips on how to improve your Python skills. It’s often the little…

Manage the lifecycle of your ML models like a Pro — MLflow is an open source platform to manage the lifecycle of ML models end to end. It tracks the code, data and results for each ML experiment, which means you have a history of all experiments at any time. A dream for every Data Scientist. Moreover, MLflow is library-agnostic, which…

Production ready web apps with pure Python and Docker — Data Science projects always need some kind of visualisation. For the initial analysis, data scientists usually use Jupyter Notebooks and libraries like matplotlib or seaborn. In exploratory data analysis, data scientists use histograms, and scatter plots or make statistical evaluations. For the first insights, this approach is very well suited…

A Comprehensive Guide for all aspiring Data Scientists — Artificial intelligence is a hype topic. But what is behind the powerful networks of the big tech companies? An artificial neural network (ANN) is usually implemented with frameworks such as TensorFlow, Keras or PyTorch. Such frameworks are suitable for very complex ANNs. …

A beginner-friendly tutorial: Get answers over your documents — Everyone has been talking about Large Language Models (LLMs). ChatGPT shows the power of this phenomenal technology in an impressive way. LLMs are pre-trained on a large amount of data. We can use it for our data. But how we best augment LLMs with our data? In this case, we…

A step-by-step guide to building your first LLM App — Since the release of ChatGPT, everyone has been talking about Large Language Models (LLMs). So it’s time to take a closer look at it. Many people and developers struggle with starting learning LLMs because they don’t know how to start. In our opinion, you should learn the following three things: …

Take your documentation to the next level — Our experience has shown that software projects are often insufficiently documented. But why? Most software projects have a limited budget and a tight schedule. Documentation is then often neglected. Insufficient documentation increases the costs of maintaining a project. For this reason, good documentation is essential. Good documentation includes more than…

Improve your code quality and make your code more robust — Do you often look for errors in software components that could prevent with a better testing strategy? Sometimes you or a colleague change a small thing in existing software, and a few weeks later, you realize that a certain functionality no longer works. It is frustrating and tedious to find…

Bootstrapping and the central limit theorem — The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used to estimate summary statistics like the mean or standard deviation. The bootstrap method is a powerful statistical tool, and it is useful for small samples. The advantage of the bootstrap…