Books

Challenge your programming skills with 100 original problems inspired by mathematics, computational thinking, and algorithmic reasoning. Designed to be programming-language independent, Logic2Code helps students and self-learners strengthen logic, creativity, and problem-solving ability through progressively engaging challenges.

Scraping is getting harder to control as bots become more sophisticated. This practical guide shows security engineers, SREs and platform architects how to build anti-scraping defenses that work at scale, from traffic analysis and behavioral detection to rate limiting, challenges, observability and continuous adaptation.

What if your software did not need the cloud to work? Local First Software Development shows you how to build fast, reliable apps that work offline and sync when needed. Learn practical patterns for data, security and synchronization while exploring how local-first systems can grow from simple personal tools into large collaborative applications.

What really happens between typing a SQL query and getting a result? Build a database engine from the ground up in Rust and find out. You’ll work through storage, indexing, concurrency, recovery and query processing while turning each chapter’s code into one working system.

Advanced Automation: 50-Chapter Master Script Package The Blueprint for Level 5 Autonomous Enterprise InfrastructureAre you ready to move past fragile ad-hoc scripts and engineer true, self-governing technical autonomy? In high-scale enterprise environments, automation is no longer about writing a quick Bash utility to clear a disk partition. It is about building resilient, self-healing systems that operate at a scale where manual intervention is a fundamental failure of design.

The Local AI Stack: Building a Sovereign Machine Learning Workstation with Hyper-V, WSL2, and GPU Virtualization Renting GPU time from AWS costs more than the GPU. Every prompt you send to a cloud API is a prompt someone else logs. If your ML work runs on hardware you don't own, on a network you don't control, then you don't own your ML work.

Running LLMs locally is easy. Running them well is an engineering problem. Practical LLM Inference gets into the details that matter, from quantization and GGUF internals to GPU offloading, benchmarking and production deployment. Learn how to size hardware, find bottlenecks and build fast, reliable inference systems without the AI hand-waving.

Most vector search books start with the database. This one starts with the machine. Build a search engine from scratch, then push it from brute force to billion-scale retrieval with SIMD, HNSW, quantization and distributed systems. By the end, vector search won't be a black box. It'll be something you know how to build, tune and scale.

Formal verification does not have to live in research papers. This practical guide shows working software engineers how to turn real requirements into precise, machine-checkable guarantees, find bugs before they reach production and bring formal methods into everyday development, from application code to distributed and security-critical systems.

What if your software could compute on sensitive data without ever seeing it? Private Computing with Homomorphic Encryption takes you from the core ideas to working, production-minded systems. Learn the math, schemes, libraries and design patterns you need to build with HE, judge its tradeoffs and know when it is the right tool for the job.

Big O is not about seconds. It is about what happens to your work when your input gets ten times bigger, and that is the question interviewers are really asking. This book builds the notation from a list of names you can watch being searched, then hands you twenty everyday jobs in ten pairs and asks you to name the shape of each one.

Every news feed is full of AI buzzwords: Transformers, tokens, embeddings, context windows, hallucinations, objective functions. Yet most explanations are either dense academic textbooks or empty marketing fluff. ☕ Coffee Break AI is your practical guide to AI. Written in plain English with warm real-world analogies. It breaks down the core mechanisms of AI into 40 bite-sized chapters.

Build a strong foundation in data structures and algorithms with clear explanations and practical Python examples. From core concepts to advanced techniques, this guide helps you understand how efficient software is designed so you can write better code with confidence and solve real programming challenges.

We'll be writing kernels in Rust and seeing how they match up with their C++ equivalents. If you feed a GPU properly, you'll see bandwidth quadruple from just one changed subscript. It'll get you working with thousands of threads, pricing a financial option based on an exact formula, and shipping an inference pipeline that outruns its Python equivalent for reasons you can name.

JavaScript ve Node.js öğrenmek isteyenler için başlangıçtan profesyonel seviyeye uzanan kapsamlı bir rehber. 1300+ sayfalık bu eser; modern JavaScript, Node.js, REST API, OOP, asenkron programlama, veritabanları, Clean Code, SOLID prensipleri, yazılım mimarisi ve gerçek dünya projeleriyle yalnızca kod yazmayı değil, yazılım mühendisi gibi düşünmeyi öğretir.