Books

This edition marks a significant shift in PyTorch's approach to optimization, enhancing both performance and flexibility. The introduction of torch.compile() provides a tool that will significantly boost the training and inference speed of models. This update allows developers to maximize the potential of their neural networks without the need to rewrite them from scratch. 

This book provides a practical guide to critical data science methods, focusing on their application in credit risk management. Using examples in R and Python, it presents step-by-step processes for applying various analytical techniques while highlighting the importance of aligning methods with the specific characteristics of the data. Designed for practitioners and those with foundational data science and banking knowledge, the book bridges theory and practice with real-world examples.

 Postman 11 revolutionizes API development with its enhanced scripting capabilities and real-time collaboration tools. The book seamlessly integrates these new features into the content to ensure you learn both the fundamentals of API development and the latest technology. The chapters are structured with a heavy focus on real-world applications. I believe that the most effective way to learn is through practical examples, exercises, and real-life situations. From initial API design to security protocol implementation and performance testing, this book will walk you through every step of the process, ensuring that your APIs are secure, scalable, and reliable. 

"Unlock the full potential of machine learning with my comprehensive guide to supervised learning! From Multiple Linear Regression to advanced Ensemble techniques like Bagging, Boosting, Stacking, and Blending, this book covers everything you need to build powerful models with confidence. Perfect for beginners and experts alike, dive into clear explanations, practical examples, and essential evaluation metrics that will elevate your machine learning skills to the next level."

Learn how to create amazing lightweight user interfaces using Python and Textual in your terminal! You will learn the basics of Textual and then create ten different applications.

Learn how to build your own AI application step-by-step. A hands-on guide to AI development with local LLM inference

This is part 2 of my 3-part training guide on how to build self-driving cars from scratch. This guide is bundled with a repository containing simulations, python scripts, graphics, and other useful assets.

Whether you're a seasoned Python developer, a non Python programmer venturing into Python's vast landscape, a full stack developer looking to improve your backend skills, or a new web developer starting out, this book is for you. "Practical Python Backend Programming" is a path towards designing and deploying powerful and efficient applications.

This book is a valuable resource for beginners and experienced Python developers, emphasizing that magic methods are not just syntactic sugar, but powerful tools that can significantly improve the functionality and performance of Python code when used correctly.

JupyterLab, the latest iteration of the Jupyter Notebook, is a versatile tool for sharing code in an easily understandable format. Jupyter Notebooks can be emailed, put on GitHub, or run online. You may also add HTML, images, Markdown, videos, LaTeX, and custom MIME types to your Notebooks. Finally, Jupyter Notebooks support big data integration. JupyterLab 101 will get you up to speed on the newest user interface for Jupyter Notebooks and the other tools that JupyterLab supports. You now have a tabbed interface that you can use to edit multiple Notebooks at once.

A Developer’s Practical Guide to AI-Driven Productivity

Python 3: The Essential Guide is an immersive journey into the world of Python programming, meticulously crafted to empower beginners and seasoned developers alike. From laying the foundational concepts to mastering advanced techniques, this book offers a comprehensive roadmap for anyone eager to harness the power of Python.

Dieses Buch, "Lernprogramme mit Pyhton 3", richtet sich an Einsteiger, die sich in die Programmiersprache Python einarbeiten möchten.