Computers and Programming

Your app is mostly other people's code. You chose a few packages, and those packages pulled in dozens more. Your AI coding agent installs whatever makes the demo work. Your secrets sit in files you will one day share. Your server has not been updated in months. None of this means you failed. It means you build alone, with no security team and no reviewer. This book gives you a realistic, low-cost routine to reduce supply chain risk in a small project, including the risks your AI coding agent introduces. In one weekend plus thirty minutes a month, you will learn to: - map what you actually ship, from direct packages to hidden transitive ones;- vet a new package in five minutes before you install it;- update safely, one small reversible step at a time;- read scanner reports without panic and without ignoring them;- keep secrets out of your code and rotate them when they leak;- protect your code host, registry, and cloud accounts;- run a minimal build pipeline and a boring, updated small server;- keep your AI coding agent leashed with permissions and rules files;- recover calmly from a compromised package, a leaked key, or a hijacked account. You will not become a security expert. You will become a solo builder with a written inventory, safer accounts, tested backups, and a monthly routine you can sustain for years. Most existing books on this topic target large companies, Kubernetes, and enterprise CI/CD. This one is for one person with limited time. It says what to do first, what to skip, and what is overkill. No setup is risk-free, and this book promises none. It promises fewer easy failures and faster recovery.

What does it really take to build a web application from the ground up, without relying on layers of frameworks to do the heavy lifting? Building Modern Web Applications in C takes you from a handful of sockets to a fully functioning, secure and production-ready web service, revealing the inner workings of HTTP, databases, sessions, TLS and everything in between. Through hands-on examples and the evolution of Taskforge, you’ll learn not just how to make a web server work but how to build one you can trust, deploy and keep running in the real world.

When systems fail, theory meets reality. This book explores how to design, build and operate software that holds up under pressure, from unexpected outages to subtle failures buried deep in the architecture. Learn the principles and practical techniques that help engineers make better decisions, reduce risk and build systems that keep working when things go wrong.

Arrays - Vol 3 (Intermediate → Advanced) - C++ Edition teaches 57 array algorithms through plain-language explanations, C++ implementations, and step-by-step visual walkthroughs, all in full color.

The code looks right. The agent sounds sure. Then it breaks. Learn the 50 most common ways AI-built apps fail, how to spot each one early, and how to fix it before your users find out.

A Comprehensive Engineering Guide to Low-Precision AI, Quantized Inference, GPU Kernels, and Production DeploymentQuantization is one of the key techniques for making large language models more efficient. By representing weights, activations, and other model data at reduced precision, engineers can lower memory requirements, improve hardware utilization, and potentially increase inference throughput. Achieving these benefits, however, requires careful trade-offs between numerical accuracy, computational cost, memory bandwidth, and hardware support. Mastering LLM Quantization: Architecture and Code is a 44-chapter engineering reference covering the mathematics, algorithms, implementation techniques, GPU kernels, evaluation methods, and deployment systems behind quantized language models. It connects theoretical foundations with practical approaches to building and optimizing low-precision inference pipelines.

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

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.

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.

Go from an empty window to a published open-source platformer. Python at Play teaches you to build, polish, test, and share real games with Python and pygame-ce, one runnable project at a time.

Learn Python the way it’s actually used at work. Start from zero, automate real office tasks, build APIs and data reports, and master the habits that turn a beginner into a hireable professional.

EmbeddingGemma 2 offers a hands-on look at Google's embedding model and how to put it to work. From semantic search and RAG to code retrieval and multimodal applications, this guide covers the architecture, trade-offs and practical implementation details you need to build reliable systems and make the right choices for your stack.

The battle-tested prompt framework and architectural system rules to turn any AI coding assistant into a principal full-stack engineer.