Bundles

20 technical books covering AI engineering, Large Language Models, Claude, C++, algorithms, compilers, database systems, and LLM inference. Explore the technologies, techniques, and engineering practices behind modern AI and software development in one collection.

Four volumes. 76 chapters. 2,000+ pages. The complete data-engineering arc from your first spark.read.csv to a production multi-agent system on Databricks, written for the engineer who gets paged when the pipeline breaks at 2 a.m.

Build three substantial software engines in C++: a compiler, a SQL database engine, and an LLM inference engine.

Think. Solve. Build.Five practical books for going beyond writing C++ code: derive algorithms, tackle 1,000 challenges, investigate real failures, and build an LLM inference engine and a SQL database engine from scratch.

A query returning ten thousand duplicated rows. A migration that won't apply to a partitioned table. Most ORM problems are database problems in disguise. Get both ends of the stack — PostgreSQL from first SELECT to production, then EF Core 10 built on top of it: JSONB, full-text search, PostGIS, pgvector. 1,289 pages, 44 chapters, every listing verified against a live database.

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

Build practical skills across four of today's most important technologies with this complete programming bundle. Learn professional Python development, write faster SQL queries, master data science with R and unlock high-performance computing with Julia. Whether you're starting from scratch or expanding your expertise, these books provide clear guidance, hands-on examples and real-world knowledge you can use in your own projects.

1084 fully solved problems in C++ and SQL, from your very first line of code to interview-grade queries and algorithms. No theory chapters, no filler — every problem gives you a clear prompt, a hint, a tested solution, and a plain-English explanation. Solve first. Read second.

The nine core-skill books every QA engineer is assumed to have — manual testing, programming, Playwright, APIs, SQL, CI/CD, Git, and Linux.

All 26 books of The Modern QA Engineer Skillset — the complete 2026 QA curriculum, from AI-augmented automation to career strategy, in a single bundle.

Master modern database and search technologies with this comprehensive four-book bundle. Learn PostgreSQL administration, SQL performance optimization, production vector search with Qdrant, and Elasticsearch, from core concepts to enterprise-scale deployment and optimization.

Most technical books hand you a recipe and ask you to trust it. This one refuses. Eight books across SQL, C++, LLMs, and Claude workflows — every mechanism built from scratch, pushed until it breaks, and measured with real numbers. Nothing asserted. Everything demonstrated. No black boxes.