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  1. No Description Available
  2. LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World
    Using GPT-4, ChatGPT, Hugging Face, and local Ollama Models in Applications.
    Mark Watson

    LangChain and LlamaIndex introduce new paradigms for developing software by blending together Large Language Models and conventional software written in Python. Running LLMs like GPT with your own data allows you to quickly build personalized applications.

  3. Cracking The Tough Parts In Python
    Abdur-Rahmaan Janhangeer

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

  4. SQLite is famous for it's ubiquity. This book is a deep dive into the mechanisms that drive it! Note: The book is free & OpenSource. Buy to support it!

  5. Personal Finance
    Achieving your financial goals
    Jason Anderson

    This textbook provides an in-depth analysis on personal finance that is both practical and straightforward in its approach. It has been written in such a way that the readers can gain knowledge without getting overwhelmed by the technical terms. Suitable for both beginners and advanced learners.

  6. Eric Zimmerman's Binary Foray
    A history of all the blog posts from Binary Foray
    Andrew Rathbun and Eric Zimmerman
    No Description Available
  7. Go Faster
    Join the thriving community of skilled Go developers!
    Ollie Phillips

    Working with Go effectively, requires proficiency and understanding beyond learning the simple syntax. It can take developers months or even years to acquire this experience, especially those coming from OOP. This book sets out to short-circuit that process and get you there faster! Includes Generics.

  8. Asking for a Better Future
    Support your team during retrospectives with solution-focused questions
    Corinna Baldauf

    Have you ever been in a retrospective in which you've analyzed the problem for so long that everyone ended up thoroughly discouraged? Improvement seems impossible? This mini book contains questions that will makes these cycles of despair less likely and instead will give teams energy for their next steps.

  9. Biological Data Science with R covers data manipulation with dplyr, visualization with ggplot2, essential statistics, survival analysis, RNA-seq analysis, phylogenetic trees, predictive modeling and infectious disease forecasting, text mining and natural language processing, and more.

  10. "We can only see a short distance ahead, but we can see plenty there that needs to be done." ~ Alan Turing

  11. No Description Available
  12. The Kanban Pocket Guide
    What No One Has Told You About Kanban Could Kill You
    Daniel Vacanti, Prateek Singh, and Colleen Johnson

    There is a lot of noise out there about Kanban.  Search the interwebs and you will quickly get lost in the cacophony that is disinformation about flow.  We hope this book will help you navigate some of that noise around what we believe are the most exciting set of practices in the Lean-Agile world.   To learn more, please visit us at ProKanban.org!

  13. Zefs Guide to Deep Learning is a short guide to the most important concepts in deep learning, the technique at the center of the current artificial intelligence revolution. It will give you a strong understanding of the core ideas and most important methods and applications. All in around only 150 pages!

  14. No Description Available
  15. Data Mesh Architektur
    Aus der Engineering-Perspektive
    Dr. Simon Harrer, Larysa Visengeriyeva, and Jochen Christ

    In diesem Primer erklären wir Data Mesh aus der Engineering-Perspektive.