Learn C by proving your code correct before you write it. The same methodology behind certified aerospace and medical systems - now applied to learning C from the ground up.
Fühlen Sie sich als Entwicklungsteam von Requirements-Engineers, Product-Owner oder Produktmanager bezüglich klarer Anforderungen im Stich gelassen? Hier finden Sie methodische und pragmatische Ansätze, mit denen Sie dieser Misere entkommen können.
140 Tips for Clean Code distills 140 practical, field-tested tips for writing clean, readable, and maintainable code. Each tip is concise, actionable, and grounded in real-world development challenges. No theory for theory’s sake. Whether you are refining a legacy system or starting from scratch, these insights will help you reduce complexity, prevent defects, and make your code a pleasure to work with. Clean code is not an aesthetic choice; it is a professional advantage.
A two-part study guide written against the Claude Certified Architect blueprints, Foundations (CCAR-F) and Professional (CCAR-P). Organised domain-by-domain and weighted to match each exam, it teaches the architectural judgement and anti-pattern recognition the exams reward, not a feature tour, across Claude Code, the Agent SDK, the Claude API, and MCP.
Crea tu propio lenguaje de programación desde cero usando Python.
Dokumentation für ein Software-System ist aufwändig, teuer und mach keinen Spass?Schlechte Dokumentation ist teuer! Und dass Sie Dokumentation mit dem richtigen Ansatz leicht leicht erstellen und pflegen können, zeigen wir Ihnen in diesem Buch über den Docs-as-Code Ansatz.
You Don’t Know JS Yet: The Unbooks is the final, draft-edition release of the second edition series—featuring the complete but unedited drafts of Book 3: Objects & Classes and Book 4: Types & Grammar, plus two bonus chapters reflecting on the “lost” books that were never written. This is the raw, honest conclusion to You Don’t Know JS Yet—a gift for readers who still care about deeply understanding JavaScript.
Trunk-based development and branch by abstraction super reference. All the aspects of this industry leading branching model covered.
Python 3 Combat Guide is a practical guide, full of actual experience and common sense, to avoid errors and to develop Python 3 Software Projects and System Administration programs.Targeted to SDM, Team Manager and Developers, defines practical strategies and tricks, and teach the basis of Unit Testing in pytest.You'll learn OOP easily.
Construindo APIs testáveis com Node.js utiliza exemplos do dia a dia para a construção de aplicações Node.js seguindo as melhores práticas de qualidade e desenvolvimento; Um guia, tanto para desenvolvedores iniciantes quanto para experientes, para a construção de aplicações robustas e resilientes guiadas por testes.
When your database outgrows simple optimizations, it's time to think bigger. Lift the Elephant goes beyond query tuning to reveal actionable strategies for scaling PostgreSQL, from partitioning to high-availability architectures. Built on lessons from scaling Hubstaff, this is your playbook for navigating the challenges of database growth.
Discover how Java developers can contribute to a sustainable future. Written by Java Champions and community experts, this collaborative guide explores practical approaches to sustainable software engineering, from resource-efficient design to mindful architecture, empowering you to reduce your environmental impact while building better systems.
You can write code. The interview still rejected you. You shipped the feature. You still didn't get promoted. You've been "senior" for years and you're still getting paged for incidents on systems you barely understand. This book is for the gaps — everything around the code that nobody explains and everyone learns the hard way. The inside account of what a technical interviewer is actually evaluating when they ask about your architecture. The difference between maintaining a system and owning it. How to build influence when you have no formal authority. How to stay relevant without burning out or becoming obsolete. Not theory. Not generic advice. Production experience distilled into a map of the profession.
With the advent of LLMs and AI coding assistants, we are generating code at an ever-accelerating rate. How do we manage this influx of code without getting fatigued and overwhelmed? How do we ensure coding standards are maintained? What practices and tools can we put in place to amplify our efforts while not introducing more bugs?
In this book you will learn the following: Build Console appsCreate Web APIsTest your codeCreate and publish reusable packages that others can consumeOrganize your files in a projectWork with files and directoriesParse text with the string library and regular expressions.