Books

A comprehensive technical reference on advanced aerospace systems, stealth engineering, hypersonics, propulsion, avionics, sensor fusion, space systems, and next-generation aircraft architectures.Modern aerospace engineering brings together disciplines that once operated largely independently. Aerodynamics, electromagnetics, propulsion, materials science, avionics, autonomy, and systems engineering now interact within increasingly complex air and space platforms. Understanding these systems requires more than knowledge of individual components; it requires an appreciation of how their physical principles, computational models, and engineering constraints influence the architecture as a whole. Advanced Aerospace Engineering: Lockheed & Partners is a 52-chapter technical compendium exploring the engineering principles behind advanced aerospace and defense systems. Drawing on publicly documented technologies and established engineering methods, it examines the relationship between theoretical foundations, computational analysis, subsystem design, and system-level integration.

The Future of Software Engineering Has Arrived.AI can now write code, generate tests, analyze requirements, explain systems, assist with debugging, and automate increasingly complex engineering tasks.But building great software has never been just about writing code.How do you design the right architecture?How do you build systems that remain secure and reliable at scale?How do you integrate AI without sacrificing quality, privacy, or control?How do you use AI to make engineers more effective without replacing engineering judgment?Engineering Software Systems in the AI Era explores these questions and provides a practical framework for designing, building, testing, securing, deploying, operating, and evolving modern software systems.Inside, you will explore:Modern software architecture and system designCloud-native and scalable systemsData architecture and intelligent data systemsAI engineering and AI-native applicationsCybersecurity and privacy by designSoftware quality and reliabilityDevOps, DevSecOps, and continuous deliveryObservability and production engineeringAI-augmented software developmentAI agents and intelligent engineering workflowsPlatform engineeringTechnical debt and engineering strategyAI governance and risk managementTechnical leadership in the AI eraThe future of software engineeringThe central message is simple:AI may make software development faster. Engineering makes software better.Learn how to combine the power of artificial intelligence with the discipline of software engineering to build systems that are secure, scalable, reliable, intelligent, maintainable, and ready for the future.

A practical, operations-focused handbook for engineers working with HPC and AI infrastructure. Learn how to troubleshoot Linux, InfiniBand, NVIDIA GPUs, Slurm, UFM, NCCL, storage, and cluster infrastructure using a structured, evidence-driven approach.

Master spatial computing, advanced algorithms, and mathematical modeling through practical code and theory.

What if the Bhagavad Gita began with a code review? A Merge Request adds two harmless getters to an immutable Money Value Object. The tests pass. The pipeline is green. Arjuna still cannot approve it. Standing between the DDD Alliance and the Just Ship It Legion, he turns to Krishna for guidance on domain truth, technical karma, architectural duty, knowledge crunching, entropy—and the dangerous illusion that a working implementation must also be a truthful model. The Logs of the Bhagavad Gita is an affectionate, technically serious and occasionally irresponsible encounter between ancient philosophy and modern software development. No framework will attain enlightenment. Your Aggregate Root might.

What really makes a compression system fast, efficient and effective? Using bzip3 as a practical case study, this book breaks down the building blocks behind modern compression, from data transforms and match finding to entropy coding and parallel processing. Learn how to design, implement and tune compression systems for real-world performance.

Mastering Nim Programming: Build High-Performance Systems, Games, and Web Apps with Python-like Syntax and C-level SpeedYou’ve probably noticed that most programming books are either too theoretical or filled with outdated examples. When I first started learning Nim, I faced the same frustration. That’s exactly why I wrote this book—not just to teach syntax, but to turn you into a production-ready Nim developer.

Python is entering a new performance era. Explore free-threaded execution, Rust extensions and modern tools for building faster, more scalable Python systems. Learn how CPython is changing, when Rust makes sense and how to turn these ideas into production-ready software.

Explore fundamental concepts in modern robotics, kinematics, and control systems with Robotics and Automation: Notes in Robotics and Automation.

Read OTLP from raw bytes to spans: Protobuf wire format, gRPC frames, HTTP payloads, PCAPs, failure modes, and telemetry cost—explained for engineers who need to debug the protocol, not merely configure it.

Learn Argo Rollouts through hands-on Kubernetes labs. Build canary and blue-green deployments, control traffic with Istio, validate releases with Prometheus, run Experiments, automate promotion and rollback, and manage progressive delivery with Argo CD and GitOps.

Git is much bigger than GitHub. This practical guide explores self-hosted platforms, decentralized approaches, secure operations and CI/CD beyond the usual defaults. Learn how to design, deploy and run independent Git infrastructure for real-world engineering, enterprise and regulated environments.

Learn Python from the ground up with clear explanations, practical examples, and a beginner-friendly approach. Build a strong foundation in programming and gain the confidence to move toward real-world Python projects.

A comprehensive technical guide to Python-driven cloud architecture, infrastructure automation, serverless engineering, security, distributed systems, and large-scale AWS operations.Modern cloud infrastructure is more than a collection of virtual machines and managed services. It is a programmable environment in which networking, identity, compute, storage, databases, messaging, and observability must work together as a coherent system. Building reliable cloud platforms requires software engineering discipline, automation, security controls, and a detailed understanding of how these services interact.Mastering AWS: Advanced Python Engineering is a 100-chapter technical reference for senior software engineers, DevOps specialists, cloud architects, platform engineers, and developers seeking to build sophisticated AWS environments with Python.

Learn Dart the right way — from your very first "Hello, World" to advanced topics like Foreign Function Interface, code generation, and modern Dart 3 pattern matching.This comprehensive, 32-chapter guide is designed for complete beginners as well as developers who want a deep, structured reference to Dart — the language behind Flutter and a growing number of command-line and backend applications.What you'll learn:Dart fundamentals: variables, data types, operators, and control flowFunctions, collections (List, Set, Map), and sound null safetyObject-oriented programming: classes, inheritance, mixins, and interfacesGenerics and robust exception handlingAsynchronous programming with Future, async/await, and StreamsModern Dart 3 features: records, pattern matching, and sealed classesExtension methods and zero-cost extension typesIsolates and concurrency for true parallelismDart FFI for calling native C librariesCreating, testing, and publishing your own Dart packagesCode generation with build_runner and json_serializablePub workspaces for monorepo projectsEffective Dart linter rules and professional best practicesEvery chapter includes clear explanations and runnable code examples you can try immediately in DartPad or your local environment. A complete course index at the start and a quick-reference cheat sheet at the end make this book easy to navigate and revisit.Whether you're a student, a self-taught developer, or preparing to build your first Flutter app, this book gives you a solid, complete foundation in Dart — one chapter at a time.