Books

From a phone, drone or 360-degree camera to an interactive 3D scene on the web, with tested numbers and live demos.

This book will walk you through the best practices to use the indexes.

An in-depth, by examples ,look to the forgotten powerful tool .The jsonb type

Guide gratuit de 12 pages pour comprendre les champignons fonctionnels, lire une étiquette, un ratio DER 10:1 et un bulletin d'analyse. Plus d'infos : https://purecroft.fr

Run your business with a team of seven AI employees. Thirty minutes a day, and you stay the one who decides.

A practical 17-part planning guide designed to help aspiring cabin owners organize every stage of an A-frame cabin project. Covering budgeting, land evaluation, permits, design, off-grid systems, move-in preparation, and long-term maintenance.

If you are a database developer and you put performance as goal to achieve with your DB design...then using PL/PGSQL functions is your excellent tool.

Your matching engine passed every test. Your risk engine rejects every bad order. Your FPGA gateway hits its latency target on the bench.On day one, all four components ran together against live order flow, and the system breached its exposure limit by several multiples.No component was wrong. The seams between them were.This book is about those seams.

A risk check that adds 50 microseconds does not add 50 microseconds. It hands your queue position to whoever skipped the check.Most risk engines pass the quiet-market demo. Then a mutex meets a fast market, a cache line is shared by two instruments, or a covariance matrix gets rebuilt on every fill, and the check that looked cheap becomes the slowest thing in the order path. The numbers stay correct. They arrive late.This book builds the engine that doesn’t do that: lock-free position tracking, a pre-trade gate with no mutex, VaR maintained at O(k) per fill instead of recomputed, and stress tests that never touch the fill path’s cache lines. Then it proves the result with replay tests, property-based invariants, and reconciliation against an independent source.Every technique is paired with the failure it prevents, and every section ends with what it changed in the latency budget.For engineers who build the thing that has to be fast and has to be right.

Curious about agentic AI but not sure where to start? This beginner-friendly guide takes you from the basics to building your own AI agents, even if you have no coding experience. Learn how agents work, choose the right tools and turn your ideas into practical, reliable solutions for real-world problems.

Your CPU has been waiting.Every numeric loop you have ever shipped processed one value at a time on hardware that was built to process sixteen simultaneously. The gap between what your code does and what the silicon is capable of is not a compiler limitation or a language restriction. It is a knowledge gap, and it has a precise cost you can measure in cycles per element.This book closes it.You will learn to read hardware the way the processor reads it: in lanes, in registers, in parallel. You will understand why your data layout is the first performance decision and the last one most engineers make. You will write branchless conditional logic that executes at full vector throughput, navigate AVX-512’s predication model without triggering the frequency trap that makes wider vectors slower, and build ARM NEON kernels that exploit interleaved memory instructions x86 has no equivalent for.By the time you reach the final chapter, you will have the complete toolkit: a portable abstraction layer that compiles to native instructions with zero overhead, a compiler collaboration discipline that turns the auto-vectorizer from an unreliable guess into a predictable collaborator, a benchmarking methodology that measures real throughput instead of measuring the speed of nothing, and a fat binary deployment architecture that ships the right implementation to every machine in your fleet without a separate binary per hardware class.The hardware is fast. It has always been fast. This book teaches you to use it.

Your CPU is not slow. Your data is in the wrong place. Every cache miss your hot loop pays is not a hardware limitation, it is a layout decision that was never made consciously. The pointer your code chases, the struct field your loop skips over, the heap allocation that landed three megabytes from the last one: these are the real performance bottlenecks in CPU-bound systems, and none of them show up in a complexity analysis. This book teaches you to see your data the way the hardware sees it, measure what it costs, and redesign it so the memory system works with your code instead of against it.

A seed may cross the ocean without carrying the forest that made it.

Une graine peut traverser l’océan sans emporter la forêt qui l’a faite.

Before it becomes evidence, an idea sometimes passes through a wounded hand.