Books

Build a real-world digital banking platform from scratch using .NET 10, Clean Architecture, DDD, Angular 21 (Nx Monorepo), Docker, PostgreSQL, and GitHub Actions CI/CD. This hands-on, full-stack guide shows you how fintech systems are built in modern software teams—covering microservices, secure APIs, authentication, event-driven architecture, automated testing, containerization, and more. No shortcuts, no toy examples. Just real engineering.

Most products burn millions chasing growth, only to watch users leave as fast as they arrive. This book shows you how to build self-sustaining loops where every user makes your product faster, stickier, and more valuable, turning expensive acquisition into compounding, unstoppable momentum. Stop running on a treadmill. Start building a flywheel.

El Framework MLOps para eliminar la Deuda Técnica de Python IA en producción. ¡Garantía Cero Fallos!

Master Data and ML Systems at ScaleYou don't master data platforms from textbooks — you master from solving real problems at petabyte scale.System Design Mastery - Data Analytics and Machine Learning teaches through production scenarios and case studies. 100 scenario-driven case studies covering:✅ Lakehouse architecture with Delta Lake, Iceberg, Hudi✅ Real-time pipelines with Kafka, Spark, Flink✅ Feature stores with Feast for training-serving consistency✅ MLOps platforms with MLflow, SageMaker, Airflow✅ Data quality frameworks with Great Expectations✅ Multi-region data sync and model serving at scale Every scenario includes: production challenge, architectural trade-offs, data/ML patterns, decision frameworks, and interview-ready explanations. Learn through real-world case studies from Netflix, Uber, Airbnb, Spotify's petabyte-scale data and ML architectures. Your journey from data engineer to architect begins here — with scenarios you'll face and systems you can build.

O Jetpack Compose é o futuro da UI do Android. Domine como ele funciona internamente e torne-se um desenvolvedor mais eficiente com ele. Você também achará útil mesmo se não for um desenvolvedor Android. Este livro fornece todos os detalhes para entender como o Compose compiler e o runtime funcionam, e como criar uma biblioteca cliente usando-os.

Jetpack Compose是Android界面开发的未来。掌握其内部工作原理，让您成为更高效的开发者。即使您不是Android开发者，这本书对您来说也很有价值。本书详细介绍了Compose编译器和运行时的工作原理，以及如何使用它们创建客户端库。

Jetpack Compose 是 Android 使用者介面的未來。透過深入了解其內部運作原理，你將成為更有效率的開發者。即使你不是 Android 開發者，這些知識對你來說也很有價值。本書提供所有細節，幫助你理解 Compose 編譯器和執行時期是如何運作的，以及如何使用它們來建立客戶端程式庫。

The history of software engineering is a story of continuous abstraction. We moved from machine code to assembly, from assembly to compiled languages, and from monolithic applications to microservices. Each step simplified the how of computation, allowing us to focus on the what.Today, we stand at the precipice of the most profound abstraction yet: Intelligence.This book is the field guide for that transition. It’s written by someone who has been in the trenches, shipping intelligent systems across continents, from solving scale issues in Silicon Valley to architecting robust, low-bandwidth solutions in Lagos. It’s a practical, no-hype look at what works when building intelligent software.Read it, absorb it, and be prepared to transition from a code writer to an architect of intelligence.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from the Software Diagnostics and Observability Institute and the Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, and software trace and log analysis written from 15 April 2024 to 14 November 2025.

Every Node.js developer uses asynchronous code but only a few truly understand what happens behind the scenes. This book reveals the internals of the Node.js Event Loop, including microtasks, macrotasks, and concurrency under load. You'll learn to master performance, scalability, and non-blocking architecture at a level that sets professionals apart.

Are you a data scientist or analyst struggling to take your Jupyter Notebook prototypes to the next level? Have you encountered challenges with code organization, reproducibility, or collaboration as your data science projects grow in complexity? This book is the solution you’ve been seeking. This comprehensive guide bridges the gap between data analysis and software engineering, providing you with the essential tools and best practices to transform your data science projects into scalable, maintainable, and collaborative solutions.

Master Spring the smart way with a theory-first guide organized around real-world Spring Framework competencies. Clear explanations, annotated code, and simple diagrams build strong mental models—so you learn faster and feel confident when validating your knowledge (no practice questions, just the essentials).

Your organization does all the right things. They practice chaos engineering, GameDays, and load testing. They conduct incident reviews and operational readiness reviews. Yet the same types of incidents keep recurring. This book examines why resilience practices so often fail to build resilience, revealing the organizational dynamics that systematically transform learning mechanisms into compliance theater and what you can do to navigate them consciously.

A Cray Research veteran narrates how pioneers handled overwhelming complexity: pattern recognition anticipating Midway, systems thinking inventing magnetic core memory. Experience from one domain, applied in a new way, shaped supercomputing.

Ever wonder why things get harder over time? You were only taught half of coding. Learn the other half and reverse code rot.