Software Engineering

Java Programming: Intermediate to Advanced by Gerry Byrne and David Wilson:Take your Java skills to the next level with clear, step-by-step guidance on advanced topics, including inheritance, abstraction, interfaces, records, exception handling, file operations, reflection, annotations, generics, lambda expressions, streams, multithreading, and string manipulation.Packed with practical examples, detailed code comments, and real-world scenarios, this book is designed to help you master the essential concepts used by professional Java developers in enterprise environments.Whether you’re refreshing your knowledge, moving from another object-oriented language, or preparing for commercial software development, this resource will empower you to write robust, modern Java applications with confidence.

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。

Design Patterns in Modern Perl shows all 23 classic “Gang of Four” patterns implemented in real, runnable modern Perl. See each pattern in bless/Class::Mite, Moo, and class/Object::Pad, with tests and benchmarks you can run yourself. Use it as a practical handbook for designing, refactoring, and modernising serious Perl applications.

Everyone blames development for being slow. But what if the real bottleneck isn't your engineering team at all? After 25 years as an engineering manager and CTO, and 8 years coaching technology leaders through their biggest challenges, Stephan Schmidt has discovered an uncomfortable truth: you can squeeze out 10-20% by optimizing development, but you'll never reach the next level that way.  The real lever? Decisions. Meetings. The six months an idea bounces around before anyone writes a line of code.  This mini-book shows you how to measure and optimize the entire journey from idea to revenue—not just the coding part. You'll learn 10 practical rules to slash time to market, including how to build a decision culture that doesn't stall, why working in parallel actually slows you down, and how understanding MVP stages can free up development capacity.  Stop blaming your developers. Start fixing what actually matters.

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.