Books

The Working Notes complement Applied Data Science for Credit Risk and Probability of Default Rating Modeling with R, offering practice-oriented insights. Based on the author’s GitHub repository, they address real-world challenges and are regularly updated to reflect ongoing developments.

Die meisten Unternehmen können schnell liefern, aber nur wenige können sich in großem Maßstab anpassen.The Cybernetic Enterprise stellt ein einheitliches Betriebsmodell vor, das KI, Rückkopplungsschleifen und Plattform-Denken in die DNA Ihrer Organisation einbettet. Erfahren Sie, wie Sie ein System aufbauen, das Veränderungen wahrnimmt, kontinuierlich lernt und Disruption in strategische Vorteile verwandelt.

Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know.

What is a good software architecture? Why should we bother structuring the code and spending time testing it? If you like spending hours debugging your programs or staying late at the office to recover from a buggy deploy in production this book is definitely NOT for you!

A straightforward introduction to PySide6: Create functional, cross-platform GUIs in Python with practical, step-by-step blueprints.

Crack the really hard topics in Python once for all. And, yes, this book starts each chapter from scratch.

Google engineers are regular expression masters. Do you want to become one, too? The Smartest Way to Learn Python Regex transforms you into a regular expression master. The book leverages an innovative learning approach: (1) read a chapter, (2) watch a course video, and (3) solve a code puzzle. It's fun!

Fear of missing out on data science and machine learning?This ​eBook ​gives you a fun way to start learning data science with Python. ​It gives you a thorough introduction Python's most important library for data science: NumPy. 100% Based on puzzle-based learning - scientifically proven to generate ​44% better learning retention and ​efficiency.​

Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.

The ultimate technical blueprint for developers and AI engineers to strip away execution overhead, leverage hardware-accelerated NumPy/PyTorch operations, and scale Python code effortlessly

Master deep learning with PyTorch & Lightning. Core concepts, practical Q&A, and production-ready code with a full companion GitHub repository.

Understanding the most common mistakes in machine learning will allow you not only to avoid them, but to build better machine learning systems and less prone to errors. After reading this book, you will be ready to build more robust and trustworthy machine learning models.

Earth rapidly became a smaller and smaller blue dot til nothing remained but the darkness of space. The fusion engines slowly pushed the ark ship forward, gliding like a metallic swan. The journey would take 20 years and most of the crew were already in cryo sleep. Only the captain remained awake, doing last minute checks before they would join the others in the dreamless sleep. For the crew, 20 years would pass in an instant, but for the inhabitants of Earth it would be a different story.7 ark ships left the Earth, each with a different mission and different destination. This story takes place on Ark-04 with the mission of reaching the nearest star system, Proxima Centauri. Will you help this crew by leveraging your Python skills? I thought so - buckle up, adventure begins