Python

"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."

Most enterprises can deliver fast, but few can adapt at scale.The Cybernetic Enterprise introduces a unifying operating model that embeds AI, feedback loops, and platform thinking into the DNA of your organization. Learn how to build a system that senses change, learns continuously, and transforms disruption into strategic advantage.

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.

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.

The book was designed to introduce NumPy features in a structured way, with each chapter building on your knowledge incrementally. Revised and updated for NymPy 2.

For Python programmers, backend developers, and web developers looking to become experts in the Django framework and improve problem-solving skills, "Django 5 Cookbook" is the easiest pocket solution book. This book presents a variety of recipes and solutions to the complex problems of developing web applications in a clear and concise manner.

Ideas for projects when teaching Python as well as general inspiration ex. when building a hobby project. It sources use-cases from Reddit and is grouped in some 20 chapters.

Logging is great for debugging and auditing. You'll learn how to log properly with Python in this book!