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

  2. 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!

  3. Discrete Mathematical Algorithm, and Data Structure
    Major Components of Mathematics, and Computer Science Explained with the help of C, C++, PHP, Java, C#, Python, and Dart
    Sanjib Sinha

    Readers will learn discrete mathematical abstracts as well as its implementation in algorithm and data structures shown in various programming languages, such as C, C++, PHP, Java, C#, Python and Dart. This book combines two major components of Mathematics and Computer Science under one roof.

  4. Learn Kubernetes & Docker - .NET Core, Java, Node.JS, PHP or Python
    Be ready to create and run your containerized and orchestrated application next week.
    Arnaud Weil

    You know next to nothing about Kubernetes or Docker but need to create and run your first application on Kubernetes using Docker within a week. Don't worry: this book has you covered.

  5. Domain-Driven Design Referenz
    Eric Evans, übersetzt von Michael Plöd, Sonja Scheungrab, Christian Stettler und Eberhard Wolff and INNOQ

    Die Domain-driven Design Referenz gibt einen Überblick über die grundlegenden Pattern für Domain-driven Design. Domain-driven Design ist ein Ansatz für die Architektur und das Design von Software-Projekten, das sich konsequent nach den fachlichen Anforderungen richtet..Die Referenz wurde vom Erfinder von DDD, Eric Evans, in Englischverfasst.

  6. Implementing QuantLib
    Luigi Ballabio

    Quantitative finance in C++: an inside look at the architecture of the QuantLib library.

  7. The Elements of Data Analytic Style
    A guide for people who want to analyze data.
    Jeff Leek
    No Description Available
  8. The Smart Money Playbook
    How you can profit from institutional, insider and analyst moves.
    Edward Croft and Ben Hobson

    Nobody knows stocks better than the insiders and institutions whose job it is to research them day in day out. Most investors don't have the time, nor the team, to carry out the due diligence when picking stocks. We show how piggybacking the insights of the Smart Money can bring you their edge, without the cost.

  9. No Description Available
  10. Targeted at junior undergraduate students majoring in Animation with a concentration in Game Development, this book aims to equip learners with proficiency in using the Cocos engine, an understanding of advergame design principles, and the ability to independently develop lightweight interactive playable demos. It is also suitable for professionals in the gaming industry and readers interested in advergame development.

  11. First-class objects in Python
    Higher-order functions, wrappers, and factories
    Leonardo Giordani

    This short book will tell you all you need to know to understand first-class citizenship in Python, which is the gateway to grasp how decorators work and how functional programming can supercharge your code.

  12. Design Practice Reference
    Activities and Templates to Craft Quality Software in Style
    Olaf Zimmermann and Mirko Stocker

    A collection of proven software engineering and architecture design method elements to accelerate project work and reduce technical risk. Suited for API design and (micro-)service architectures. Activity descriptions and artifact templates for non-functional requirements, domain models, architectural decision records, API contracts. Sample content.

  13. Read-Eval-Print-λove
    v002 - UrLISP
    Michael Fogus

    A primordial Lisp described in detail.

  14. Mastering LLM Security
    Defending Enterprise AI Systems Against Prompt Injection, Jailbreak Attacks, Model Inversion, and Adversarial Exploits
    Aurobinda Ojha

    Artificial Intelligence is transforming the world—but it is also creating an entirely new attack surface.What happens when attackers manipulate AI through language itself?Discover how cybercriminals exploit prompt injections, jailbreak models, steal sensitive information, and bypass AI guardrails. Through real-world examples, hands-on labs, secure coding techniques, and enterprise-ready architectures, Mastering LLM Security equips you with the knowledge needed to defend the next generation of intelligent systems.Whether you are building AI products, securing enterprise deployments, or leading cybersecurity programs, this book provides the blueprint for defending modern AI infrastructures.

  15. The Competitive Coder's Manual: Thinking in Patterns and Logic
    Master the Mindset Behind Algorithmic Excellence—From Competition Leaderboards to Production Systems
    George panos
    No Description Available