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  1. 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.

  2. The Cybernetic Enterprise
    How to Build a Future-Ready Organization
    Romano Roth

    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.

  3. Generative AI with local LLM
    A comprehensive roadmap for building AI-Driven applications with local LLMs
    Shamim Bhuiyan and Timur Isachenko

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

  4. How to Build Self-Driving Cars From Scratch, Part 2
    A Step-by-Step Guide to Creating Autonomous Vehicles With Python
    Bolakale Aremu

    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.

  5. Practical Python Backend Programming
    Build Flask and FastAPI applications, asynchronous programming, containerization and deploy apps on cloud
    GitforGits | Asian Publishing House

    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.

  6. Python's Magic Methods
    Beyond __init__ and __str__
    Nuno Bispo

    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.

  7. Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
    A short beginner’s guide to deep learning-based computer vision and abnormal sound detection
    Ankur Kumar

    This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

  8. JupyterLab 101
    Learn the Latest Iteration of Jupyter Notebook
    Michael Driscoll

    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.

  9. The Augmented Developer
    Code Smarter, Not Harder
    Aymen El Amri

    A Developer’s Practical Guide to AI-Driven Productivity

  10. 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.

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

  12. NumPy By Example
    A Beginner's Guide to Learning NumPy (updated for NumPy 2)
    DAT Linux

    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.

  13. Django 5 Cookbook
    70+ problem solving techniques, sample programs, and troubleshoots across python programs and web apps
    GitforGits | Asian Publishing House

    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.

  14. 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.

  15. Python Logging
    Michael Driscoll

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