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  1. Local Intelligence
    Local Intelligence
    Running Large Language Models on Your MacBook with Apple Silicon
    Steve Publications

    Local Intelligence shows you how to run large language models entirely on your Mac with Apple Silicon. Learn to use tools like Ollama, MLX, and llama.cpp, understand quantization, and build real local AI applications with open-source code.

  2. LLM Quantization Recipes
    LLM Quantization Recipes
    A Practical Guide to Compressing Large Language Models Without Losing Their Intelligence
    Steve Publications

    LLMs are too big for single GPUs, but quantization fixes that. This book cuts through the hype to show you how to actually compress models using GPTQ, AWQ, GGUF, and NF4 without losing quality. You get real benchmarks, working code, and a clear way to pick the right tool for your hardware. Stop guessing and start deploying efficient models today.

  3. The PostgreSQL Administrator's Handbook
    The PostgreSQL Administrator's Handbook
    Architecture, Operations, and Performance Tuning for Production Systems
    Steve Publications

    Master PostgreSQL administration with a practical guide to deploying, securing, optimizing, and operating production databases. Covering PostgreSQL 17 and 18, this book combines real-world examples, hands-on labs, and proven best practices for reliable, high-performance systems.

  4. Inside llama.cpp
    Inside llama.cpp
    The Complete Guide to Building, Running, and Optimizing Local LLM Inference
    Steve Publications

    Learn how to build, run, and optimize llama.cpp from the ground up. This book covers everything from compiling the code and working with GGUF models to deploying fast, production-ready local LLM inference.

  5. Rust for LLM Inference
    Rust for LLM Inference
    Building High-Performance LLM Inference Engine from Scratch
    Steve Publications

    Learn how modern LLM inference engines work by building one from scratch in Rust. From transformers and tokenization to KV caching, quantization, batching, and GPU optimization, this book combines theory, hands-on code, and performance engineering to help you create fast, production-ready AI systems.

  6. Quantum Applications on AWS Braket
    Quantum Applications on AWS Braket
    A Hands-On Guide to Building Quantum Programs with the Python SDK
    Steve Publications

    Quantum computing is ready for developers. Quantum Applications on AWS Braket is a practical, code-first guide to building and running quantum applications on AWS Braket with hands-on Python examples and real quantum hardware.

  7. Git Mastery: From First Commit to Expert
    Git Mastery: From First Commit to Expert
    The Complete Practical Guide — Fundamentals, Workflows, Internals, and Real-World Problem Solving
    Steve Publications

    Stop memorizing Git commands and learn how Git actually works. Git Mastery: From First Commit to Expert covers everything from version control basics to advanced workflows, debugging and Git internals with practical examples that help you collaborate with confidence and solve Git problems on your own.

  8. Distributed Systems in Go
    Distributed Systems in Go
    A Complete Guide to Building Cloud-Native Distributed Go Systems
    Joel Bryan Juliano

    Build a cloud-native distributed system in Go with authentication, databases, Kafka, gRPC, circuit breakers, and distributed tracing. Each chapter teaches a pattern and extracts it into a reusable platform SDK. By the final chapter, you'll have six deployable services, a complete platform SDK, and the patterns to build the next one faster.

  9. Bare Metal Computing X64 Edition
    Bare Metal Computing X64 Edition
    Low Level Coding of Native Instructions
    gareth thomas

    Most programmers never touch the machine.They live inside frameworks. They trust kernels. They inherit latency, abstraction, and hidden behavior they do not control.And they call that “systems programming.”Bare Metal Computing With X64 — Low Level Coding of Native Instructions is for the engineer who wants authority, not convenience

  10. AI-Augmented Software Engineering
    AI-Augmented Software Engineering
    Tools, Practices, and Ethics
    Goziechukwu Chima-Duru

    Imagine writing production-grade code with fewer errors, sprint reviews that highlight real insights instead of guesses, and teams that spend less time debugging and more time innovating. This isn’t science fiction, it’s the future of software engineering. AI-Augmented Software Engineering unlocks the practical power of AI tools while grounding you in ethical best practices. Discover how to automate the mundane, amplify your creativity, and shape intelligent systems that serve users all without sacrificing trust, quality, or integrity.Welcome to the next wave of engineering designed with intelligence, driven by values.

  11. AlgoEmbedded
    AlgoEmbedded
    Data Structures and Algorithms for Embedded Systems
    Tri-Vien Vu

    Stop writing code that only works on your laptop.Your O(n²) sorting algorithm runs fine on an i9 processor. But on a Cortex-M4 with 2KB of RAM? It crashes the stack.AlgoEmbedded is the first textbook that stops teaching "Computer Science" and starts teaching Embedded Engineering. Learn how to adapt standard algorithms for the constraints of the real world.

  12. PostgreSQL Internals Mastery: A Comprehensive Guide
    PostgreSQL Internals Mastery: A Comprehensive Guide
    Volume I: Foundations & Core Concepts
    Giovanni Martinez

    "It’s 3 AM, your database just hit 500 connections, and everything has ground to a halt. Do you know why?"Most database outages aren't mysterious—they are architectural. Stop treating PostgreSQL as a black box and start understanding the mechanical "why" behind the engine. PostgreSQL Internals Mastery: Volume I is a modular deep dive designed for senior engineers who need to bridge the gap between writing SQL and architecting high-performance systems. From the process-per-connection model to the groundbreaking Asynchronous I/O (AIO) features of PostgreSQL 18, learn the internals that separate database architects from administrators. Don't just tune knobs; understand the machine.

  13. An Elm Primer for React Developers
    An Elm Primer for React Developers
    The Best Way to Learn Real Functional Programming
    Christian Ekrem

    Tired of React runtime errors despite TypeScript? Elm guarantees zero runtime exceptions—if it compiles, it works. This practical guide shows React developers how Elm's strict functional programming approach eliminates entire classes of bugs while teaching you real FP concepts that transfer to any language. Learn the pattern that inspired Redux, discover compile-time safety that catches errors TypeScript misses, and see side-by-side code comparisons from a production codebase with 150,000+ lines of Elm. Your React knowledge is your advantage—this book meets you where you are. Why this book exists: Christian believes Elm is the fastest and most effective way for developers to truly learn functional programming—not watered-down FP patterns, but real, uncompromising functional thinking. Whether you adopt Elm professionally or not, learning it will make you a better developer in any language. This book is his way of sharing that insight with React developers who are ready to level up.

  14. An Applied Guide To Water And Effluent Treatment Plant Design

    The information contained in this book is usually provided on the job by mentors so it will remain a vital resource throughout your career.

  15. Master Software Architecture
    Master Software Architecture
    A Pragmatic Guide
    Maciej "MJ" Jedrzejewski

    Tired of architecture books that read like academic papers? This pragmatic guide will show you how to design robust systems that work in the real world. I have learned these lessons the hard way so you don't have to. Everything you need to know about software architecture—from core principles to advanced patterns—explained in plain English and practical examples. Paperback edition