Software Engineering

Java Programming: Beginner to Intermediate is the ultimate resource for anyone who wants to learn Java fast and build real programming skills. Whether you’re a complete beginner, a career changer, or someone refreshing their knowledge, this book is designed to help you succeed.

这个一个用代码手搓数据库的项目。你可以通过这个项目：学习数据库底层原理和计算机基础。提升技术深度。通过实操来锻炼编程技能。获得一个完整的个人项目。可以用在简历、面试中。项目全面实现了几个最重要的部分：KV 储存引擎。SQL 与关系型数据库。索引与数据结构。虽然范围很广，但是被拆分成了多个小步骤。每个步骤都很简单，最多几十行代码。你会发现，复杂的概念可以从简单的概念演变而来，可以说是从0开始发明数据库。 作者网站上精选了一些类似的资源：程序员如何学习底层技术?可以邮件订阅作者网站。

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.

 Your CEO asks for an estimate. Your engineer says "3 weeks." Your CEO responds "you have 3 days." Sound familiar? After 30 years managing engineering teams, I've learned that most estimation is pure waste—and the pressure to give "better estimates" destroys trust and team morale. This book reveals a counterintuitive truth: stop estimating so much. Only estimate when it directly drives decisions. Learn why software estimation is fractal (like measuring Britain's coastline), how to distinguish effort from duration, and why your team keeps "missing deadlines." Discover how to reframe engineering from a cost center (always fighting for budget) to a profit center (getting the resources you deserve). Written for CTOs and engineering leaders, this practical guide delivers immediately actionable frameworks based on real experience coaching dozens of technical leaders. No theory, no agile dogma—just honest advice on estimation that actually works.

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 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.

Agentic coding is transforming how developers write software. Instead of relying on static code completion, you now collaborate with autonomous AI agents that plan, execute, and improve with you. Agentic Coding for Beginners introduces this new era of intelligent development through practical, tool-agnostic lessons. You’ll learn to design workflows, manage context, and build multi-agent systems that handle complex tasks with precision. Using examples from ChatGPT, Copilot, VS Code, and CrewAI, the book shows how to combine automation with human judgment for better results. Written for developers who want to move beyond simple prompts, it teaches how to think in loops of planning, acting, and reflecting, the foundation of agentic systems. Whether you’re refining your coding process or exploring AI-driven workflows for the first time, this guide helps you bridge the gap between coding and cognition, preparing you for the next generation of software engineering.

What happens when machines stop merely assisting developers and start thinking with them?Developer Productivity and Cognitive Automation takes you inside the next evolution of software engineering: where AI becomes your co-creator, automation becomes cognitive, and productivity is measured not in lines of code, but in focus, creativity, and flow.Through vivid stories, from high-pressure fintech teams in Lagos to AI-powered engineering squads in the UK, the book unveils how the smartest organizations are redefining “developer productivity” around mental energy, collaboration, and innovation. Whether you’re a coder, team lead, or tech executive, this book shows you how to build systems that amplify human intelligence, not replace it

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.