Bundles

Six great books on building agile teams: Games and self-assessments, reteaming, mindset shifts and agile principles, 101 ideas, tips from the trenches, and suggestions for forming teams. All in one buy for a largely reduced price!

The complete LLM Engineering collection—from a single weight to production systems that fail silently. Explore how LLMs work, how to build and optimise them, and how to diagnose the failures that matter.

Two forensic collections. 110 real investigations into C++ and LLM systems that compile, run, and quietly lie. Trace the evidence, uncover the root cause, and see how each failure was fixed.

A comprehensive 3-book toolkit for modern Python developers to build, test, and ship production-grade applications. Master Linux & Docker containerization, write rock-solid test suites with pytest, and automate your entire software delivery workflow using GitHub Actions.

# Master AI Engineering & High-Performance Python from Scratch! The ultimate 5-book collection designed to bridge the gap between abstract mathematical formulas, low-level Python algorithms, and production-grade AI systems. Instead of relying solely on high-level black-box frameworks, this bundle gives you complete architectural visibility into how AI models, vector search systems, and neural networks actually work under the hood. --- ### What You'll Learn: * **Solid Mathematical Foundations:** Move seamlessly from probability, vector calculus, and linear algebra equations to clean, runnable Python code. * **Zero-Framework Deep Learning:** Build custom neural network architectures and backpropagation engines from scratch using pure Python & NumPy. * **Semantic Search Architecture:** Design and implement end-to-end semantic search systems and vector similarity indexers without external APIs. * **Extreme Python Optimization:** Uncover performance bottlenecks in pure Python loops and apply vectorization, memory management, and algorithmic tuning for massive AI workloads. --- ### Books Included in This Bundle: 1. **Applied Mathematics & Artificial Intelligence:** Your primary bridge from theoretical formulas to algorithm implementation. 2. **The Ultimate AI Math Cheat Sheet:** Quick-reference mathematical formulas paired with production-ready NumPy code snippet equivalents. 3. **Behind the Black Box: Building Neural Networks From Scratch:** Step-by-step guidance on constructing deep learning components without heavy libraries. 4. **Semantic Search from Scratch:** A practical guide to building scalable, vector-based semantic search tools using pure Python. 5. **The Hyper-Drive Algorithms:** Master algorithm optimization techniques to turn sluggish Python loops into blazing-fast routines. --- ### Who This Bundle Is For: * **Software Engineers & Backend Developers** stepping into AI/ML engineering who want low-level control over their code. * **Data Scientists & AI Practitioners** looking to sharpen their mathematical implementation and pure Python performance skills. * **Computer Science Students & Researchers** who learn best by building systems from scratch.

Master the complete AI journey—from foundational concepts and professional AI practice to autonomous agents, real-world implementation, and deployment.Three handbooks. One complete operational journey.ROY-OS¹ — Learn AI. Build the conceptual and practical foundations for working effectively with AI.ROY-OS² — Build Agentic AI. Move from AI usage to intelligent systems, autonomous agents, workflows, tools, knowledge, and orchestration.ROY-OS³ AI Lab — Apply AI. Turn those capabilities into real-world solutions through implementation, testing, evaluation, deployment, and continuous improvement.From conceptual frameworks to autonomous agents, from AI capability to real-world deployment—the ROY-OS™ trilogy provides a progressive path from learning to building to implementation and measurable impact.Learn. Build. Apply. Transform. 

智能时代的开发进阶思维

Software tools change fast and keeping up with them can be a challenge. This bundle brings together three practical guides covering modern Python, JavaScript and Linux tooling in 2026. Learn how today’s tools work, why developers use them and how they fit into real projects. From package managers and testing tools to build systems, command line utilities and production workflows, these books give you a practical look at the tools that can make your work faster, cleaner and easier.

Four handbooks for people who run Claude Code every day: what it costs and how to cut that, what to do when a release changes the rules under you, the guards worth installing before anything else, and how to keep one instruction file working across nine tools. Over 450 pages, written from an operator's own logs and incidents rather than from the documentation. Every book has a free sample, and updates are free to buyers.

Written for engineers who want the material to still be useful the week after the exam.

Claude Code is changing the way developers build and understand software, but getting real value from it takes more than asking it to write code. This three-book bundle shows you how to use Claude Code from the ground up, build production-ready full-stack applications and work with existing software systems through practical reverse engineering workflows. With hands-on projects, real-world techniques and a strong focus on good engineering practices, this collection gives you the skills to use Claude Code confidently across the full software development lifecycle.

Seventeen books, one rule: nothing asserted, everything demonstrated — build it, break it, check it yourself.

Almost everything written about large language models is advice. This series measures it. Nine volumes, 609 pages, built and run on a single CPU core with no access to a large model —and that constraint produced the method rather than limiting it. Several results contradictedthe advice they were testing: hybrid retrieval lost in every condition, neither reranker beatthe noise floor, and unstructured pruning saved not one byte. One experiment turned out to be confounded. It is in the book alongside its correction, becausethe mistake was more instructive than the finding.

Expand your .NET skills with five in-depth books covering C#, Visual Basic .NET, PowerShell, F# and G#. From writing your first program to building applications, working with databases, creating APIs and automating real-world systems, this bundle brings together practical guidance for developers at every level. With complete code examples, modern techniques and useful reference material, it is a collection you can learn from now and keep coming back to as your skills grow.

Ready to go beyond basic AI coding? This three-book bundle takes you from mastering Claude Code to building production-ready full-stack applications and creating your own AI agents with the Claude Agent SDK. Packed with practical examples, hands-on projects and real development workflows, it gives you a clear path from your first AI-assisted coding session to deploying serious applications and agent systems in production.