1. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

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  2. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

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  3. Build a Large Language Model

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  5. Python for Algorithmic Trading: From Idea to Cloud Deployment

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  6. AI Engineering: Building Applications with Foundation Models

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  7. Life 3.0: Being Human In The Age Of Artificial Intelligence

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  8. Pragmatic Programmer, The: Your journey to mastery, 20th Anniversary Edition

    Pragmatic Programmer, The: Your journey to mastery, 20th Anniversary Edition

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  9. The Last Of Us: Part I And Part Ii Scripts

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  10. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition

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  11. If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI

    If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI

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  12. Cracking the Coding Interview, 6th Edition: 189 Programming Questions and Solutions

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  13. Agentic Coding with Claude Code: The everyday developer's guide to agentic coding with Claude Code

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  14. Theory Of Fun For Game Design

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  15. Building Microservices: Designing Fine-Grained Systems

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  16. How Linux Works, 3rd Edition: What Every Superuser Should Know

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  17. Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy

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  18. 80,000 Hours: The Sunday Times Bestselling Guide to Finding a Fulfilling, AI-Proof Career

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  19. Pokemon Epic Stickers

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  20. The GitHub Copilot Handbook: A practical guide to transforming the software development life cycle with GitHub Copilot

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  21. Ai Snake Oil

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  22. Storytelling with Data: A Data Visualization Guide for Business Professionals

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  23. Fundamentals of Software Architecture: A Modern Engineering Approach

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  24. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems

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  25. Code: The Hidden Language of Computer Hardware and Software

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  26. Coding Interview Patterns: Nail Your Next Coding Interview

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  27. Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures

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  28. Python for Finance 2e: Mastering Data-Driven Finance

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  32. The Nature Of Code: Simulating Natural Systems With Processing

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  36. Game Programming Patterns

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  37. Deep Learning with Python, Third Edition

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