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Category: "Databases"

Bundles

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

  2. No Description Available
  3. 3 Books from the "Build Your Own X" series:Build Your Own Redis with C/C++Build Your Own Database From ScratchFrom Source Code To Machine Code

  4. 3 Books from the "Build Your Own X" series:Build Your Own Redis with C/C++Build Your Own Database From ScratchFrom Source Code To Machine Code

  5. Learn geospatial Python from the ground up to advanced GeoAI. Build real-world workflows for GIS, spatial data management, and AI-powered analysis.

  6. Build modern APIs, create intelligent AI agents, power RAG applications and master PostgreSQL with this bundle of four hands-on books. From Python development to production-ready systems, learn the tools and techniques that bring real-world projects to life.

  7. 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.

  8. No Description Available
  9. 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.

  10. 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.

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

  12. 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.

  13. 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.

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

  15. 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.