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Stallman R: Bison: The Yacc-Compatible
Parser Generator

Bison: The Yacc-Compatible Parser Generator

AI coding assistants are helping teams create software faster than ever. But to turn that speed into real innovation, organizations must go beyond writing code and deliver software quickly, securely, and reliably.While AI-assisted coding is now mainstream, what happens after the code is written is still catching up. AI-Native Software Delivery is your practical guide to applying AI across the entire delivery lifecycle, from commit to production and beyond.Written for software engineers, DevOps leaders, and tech executives, this book explores how leading teams are using AI to streamline CI/CD, manage cloud costs, strengthen security, and eliminate operational toil. The book also uncovers the risks of brittle automation and shows you how to avoid building systems that don't scale.You'll learn how to: <ul><li>Integrate AI across delivery workflows to accelerate time to value</li><li>Avoid common pitfalls of fragmented automation strategies</li><li>Adopt DevSecOps principles that scale with your team</li><li>Apply real-world practices in AIOps, chaos engineering, and SRE</li><li>Future-proof your delivery with intelligent pipelines and feedback loops</li></ul>Whether you're evolving a legacy delivery process or designing a new platform, this guide will help you lead your organization into the AI-native future of software delivery.

Proven Practices to Produce High-Quality Software Faster

AI-Native Software Delivery

Programming Language Pragmatics is the most comprehensive programming language textbook available today, with nearly 1000 pages of content in the book, plus hundreds more pages of reference materials and ancillaries online. Michael Scott takes theperspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation. In an approachable, readable style, he discusses more than 50 languages in the context of understanding how code isinterpreted or compiled, providing an organizational framework for learning new languages, regardless of platform. This edition has been thoroughly updated to cover the most recent developments in programming language design and provides both a solid understanding of the most important issues driving software development today

Programming Language Pragmatics

Python Übungsbuch: Mit praxisorientierten Aufgaben und verständlichen Erklärungen zur effizienten Beherrschung der Programmiersprache
 Haben Sie sich schon immer gefragt, wie Sie mit Python programmieren können, aber wussten nicht, wo Sie anfangen sollen? Oder haben Sie schon erste Erfahrungen gesammelt und möchten Ihr Wissen vertiefen? Dann ist dieses Übungsbuch genau das Richtige für Sie!In der heutigen digitalen Welt ist Python eine der gefragtesten Programmiersprachen, und das aus gutem Grund: Sie ist einfach zu erlernen, vielseitig einsetzbar und bietet riesige Möglichkeiten in Bereichen wie Webentwicklung, Datenanalyse und maschinelles Lernen. Doch das richtige Verständnis kommt nicht nur durch das Lesen von Theorie - es kommt durch Übung! Dieses Buch hilft Ihnen, Schritt für Schritt die Grundlagen der Python-Programmierung zu verstehen und vertieft Ihre Kenntnisse mit praktischen Aufgaben und Projekten.Python verstehen:
 Lernen Sie, wie Python funktioniert, welche Grundlagen Sie wissen müssen und wie Sie diese in der Praxis anwenden können, auch ohne Vorkenntnisse.
 Übungen &amp; Praxisbeispiele:
 Mit konkreten Beispielen und Übungen lernen Sie, wie Sie eigene Programme schreiben und die vielseitigen Funktionen von Python nutzen können. Vom Erstellen einfacher Berechnungen bis hin zu komplexeren Algorithmen - dieses Buch führt Sie durch praxisnahe Szenarien.
 Fortschrittliche Themen:
 Steigen Sie tiefer ein, wenn Sie bereit sind, und entdecken Sie fortgeschrittene Themen wie objektorientierte Programmierung, Fehlerbehandlung und das Arbeiten mit Bibliotheken und APIs.
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 Fehler gehören zum Programmieren, aber mit den richtigen Techniken lernen Sie, Ihre Fehler zu finden und schnell zu beheben - für ein solides, fehlerfreies Programm.
 Dieses Übungsbuch ist speziell darauf ausgelegt, Ihnen zu helfen, Python effizient zu erlernen und anzuwenden. Egal, ob Sie Ihre erste Zeile Code schreiben oder komplexe Programme entwickeln möchten, dieses Buch ist Ihr praktischer Begleiter auf dem Weg zum Python-Profi.Worauf warten Sie noch?
 Klicken Sie jetzt auf "Jetzt kaufen mit 1-Click" und starten Sie Ihre Python-Reise mit diesem praxisorientierten Übungsbuch!

Python programmieren lernen mit 15-Minuten-Übungen: Das große Übungsbuch für Einsteiger, Umsteiger & Könner zum schneller Verstehen & sofort Anwenden - inkl. Lösungen, OOP, Debugging-Guide uvm

Build robust LLM-powered apps, chatbots, and agents while mastering AI engineering principles that will help you outlast the tools and the hype. Want to build an LLM-powered app but don't know where to begin?&nbsp;&nbsp;With this step-by-step guide, you can master the underlying principles of AI engineering by building an LLM-powered app from the ground up. Tame unpredictable models with prompt and context engineering. Use evals to keep them on track. Give chatbots the knowledge to answer anything a user wants to know. Equip agents with the tools and smarts to actually get the job done. By the end, you'll have the intuition and the confidence to build on top of LLMs in the real world. Fragmented documentation, obsolete tutorials, and frameworks that deliver a prototype but flop in production can make AI engineering feel overwhelming. But it doesn't have to be that way. With real-world code and step-by-step instructions as your guide, you can learn to build robust LLM-powered apps from the ground up while mastering both the how&nbsp;and why of the most crucial underlying concepts. Harness context engineering and retrieval systems to create AI assistants that understand your proprietary data. Create chatbots that answer organization-specific questions and help solve users' issues. Design agents that conduct research, make decisions, and take action in the real world. Level up your prompt engineering and get an LLM to do your bidding---not its own. Use automated evals to keep constant tabs on your app's quality while setting up guardrails to protect your users and organization. And implement observability systems that make it easy to debug your app when things do go wrong. With a systematic approach grounded in the core principles of building AI apps for real users, you'll easily evolve and adapt even as the hype and tools come and go.

Build Production-Ready LLM Applications

A Common-Sense Guide to AI Engineering

Maintaining secrets, credentials, and machine identities in secure ways is an important, though often overlooked, aspect of secure software development. DevOps security often addresses vulnerabilities, but it neglects broader discussions like authentication, authorization, and access control, potentially leaving the door open for breaches. That's where an identity security strategy integrated in your code, infrastructure, and environments from day one can help. In this practical book, authors John Walsh, Uzi Ailon, and Matt Barker provide conceptual frameworks, technology overviews, and useful code snippets to bridge the gap between development, IT, and security to integrate robust identity security across apps, CI/CD pipelines, Kubernetes and cloud native, hybrid and multicloud, process automation, IoT, and more. You'll learn: <ul> <li>What developers need to know about managing secrets and identity to build safer apps </li><li>What machine identities, secrets, and credentials are--and how to secure them </li><li>How to secure the software supply chain to build safer apps </li><li>How identity security fits into modern software development practices </li></ul>

Building with Identity, Secrets, and Credentials

Identity Security for Software Development

The past decade has seen cloud and infrastructure as code move out of shadow IT and startups and into the mainstream. Many organizations rushed to adopt new technologies as part of their transformation into digital businesses, creating a sprawl of unmaintainable infrastructure codebases. Now, there is a need to consolidate cloud-based systems into mature foundations for sustainable growth. With this book, Kief Morris describes patterns and practices for building and evolving infrastructure as code. The third edition provides a broader context for infrastructure, explaining how to design and implement infrastructure to better support the strategic goals and challenges of an organization, such as supporting growth while better managing costs. This book covers: <ul> <li>Foundational concepts, including an exploration of declarative and procedural infrastructure languages, where infrastructure code fits into a comprehensive platform strategy and enterprise architecture, and how to test and deliver infrastructure code. </li><li>Infrastructure architecture, drawing on lessons learned from software design and engineering to build infrastructure codebases that can be evolved and scaled to enable growth and adapt to changing needs. </li><li>Patterns for building infrastructure to support platform services across the complicated, varied landscapes of real-world IT systems, from physical hardware to virtual servers to cloud-native clusters and serverless workloads. </li><li>Workflows and operating models that combine automation and cloud with forward-thinking approaches like Agile and DevOps for rigorous governance of compliance, cost, security, and operational quality.
</li></ul>

Dynamic Systems for the Cloud Age

Infrastructure as COde

Practical techniques for building concurrent, cloud-native, and high performance Go applications—all accelerated with productivity-boosting AI tools. Go in Practice, Second Edition is full of tips, tricks, best practices, and expert insights into how to get things done with Go. It builds on your existing knowledge of the Go language, introducing specific strategies you can use to maximize your productivity in day-to-day dev work. In Go in Practice, Second Edition, you’ll learn:<ul><li>Concurrency with goroutines and channels</li><li>Web servers and microservices with event streams and websockets</li><li>Logging, caching, and data access from environment variables and files</li><li>Cloud-native Go applications</li><li>AI tools to accelerate your development workflow</li></ul>Go in Practice, Second Edition has been extensively revised by author Nathan Kozyra to cover the latest version of Go, along with new dev techniques, including productivity-boosting AI tools. It follows an instantly-familiar cookbook-style Problem/Solution/Discussion format, building on what you already know about Go with advanced or little-known techniques for concurrency, logging and caching, microservices, testing, deployment, and more. About the technology You’ve mastered the basics of Go—now what? To build production-quality Go applications, you’ll need to handle concurrency, networking, file access, native communication protocols like gRPC and TCP/REST, and a host of other practical issues. Following a friendly cookbook format, this book gives you instantly-useful solutions to the problems you’ll see on the job. About the book Go in Practice, Second Edition delivers dozens of practical techniques for writing and maintaining Go applications following a handy problem/solution/discussion format. This up-to-date revision covers the latest Go innovations, including generics, panics and other error handling tools, and modern concurrency patterns, along with advanced features like reflection and code generation. You’ll also love the tips for integrating AI code completion into your development process. What's inside<ul><li>Concurrency with goroutines and channels</li><li>Web servers and microservices</li><li>Logging, caching, and data access</li></ul>About the reader For intermediate developers with previous experience in Go. About the author Nathan Kozyra is a full-stack developer with twenty years of experience building production web and mobile applications. He’s worked with Go since 2009 in both large companies and startups. Matt Butcher and Matt Farina authored the first edition of this book. Table of Contents Part 1 1 Getting started with Go 2 A solid foundation: Building a command-line application 3 Structs, interfaces, and generics Part 2 4 Handling errors and panics 5 Concurrency in Go 6 Formatting, testing, debugging, and benchmarking 7 File access and basic networking Part 3 8 Building an HTTP server 9 HTML and email template patterns 10 Sending and receiving data 11 Working with external services Part 4 12 Cloud-ready applications and communications 13 Reflection, code generation, and advanced Go

Practical techniques for building concurrent, cloud-native, and high performance Go applications—all accelerated with productivity-boosting AI tools.

Go in Practice, Second Edition

Good architecture is more than just good code--it's clear communication. The C4 Model: Visualizing Software Architecture is a practical guide to creating diagrams that help teams understand, build, and talk about software systems more effectively. Developed by Simon Brown and used by thousands of teams worldwide, the C4 model breaks architecture down into four simple levels (context, container, component, and code), making it easier to see the big picture and the details. Whether you're onboarding a new teammate, presenting to stakeholders, or just trying to make sense of a complex system, this book shows you how to create visuals that actually make an impact. With approachable guidance, real examples, and tips for tailoring diagrams to different audiences, it's a must-have for any developer or architect who wants to make their ideas easier to understand. <ul> <li>Learn how to apply the C4 model from high-level views to low-level details</li> <li>Create diagrams that support collaboration and clarity across teams</li> <li>Understand who each diagram is from and when to use it</li> <li>Go beyond C4 with other useful visual tools like dynamic views and deployment maps</li> <li>Build better conversations around how your software works and why</li> </ul>

Visualizing Software Architecture

The C4 Model

From First Script to Full Website—Fast! Tired of cobbling together PHP solutions from scattered online tutorials? Frustrated by outdated PHP practices that leave your code vulnerable and hard to maintain? Whether you’re building your first dynamic website or modernizing legacy systems, PHP Crash Course gives you a complete, practical foundation for writing professional web applications. In this comprehensive, example-driven guide, you’ll learn how to: <ul><li>Write clean, maintainable PHP code using modern language features and best practices</li><li>Build secure web applications that protect against common vulnerabilities</li><li>Master database integration using PDO and object-relational mappings (ORMs)</li><li>Implement professional features like shopping carts and user authentication</li><li>Structure applications using object-oriented programming and model-view-controller (MVC) patterns</li><li>Leverage powerful tools like Composer and Twig to accelerate development </li></ul> Starting with PHP fundamentals, you’ll progress through six carefully crafted sections covering essential patterns, security best practices, database integration, and advanced concepts like object-oriented programming. Each chapter builds on real-world examples, giving you the skills to solve common development challenges. Whether you’re a complete beginner or an experienced developer looking to modernize your PHP skills, PHP Crash Course gives you everything you need to build professional, dynamic websites with confidence. Includes setup instructions for Windows, macOS, and Linux, and configuration details for Replit, the free online development environment.

From First Script to Full Website—Fast! Tired of cobbling together PHP solutions from scattered online tutorials? Frustrated by outdated PHP practices that leave your code vulnerable and hard to maintain? Whether you’re building your first dynamic website or modernizing legacy systems, PHP Crash Course gives you a complete, practical foundation for writing professional web applications. In this comprehensive, example-driven guide, you’ll learn how to: <ul><li>Write clean, maintainable PHP code using modern language features and best practices</li><li>Build secure web applications that protect against common vulnerabilities</li><li>Master database integration using PDO and object-relational mappings (ORMs)</li><li>Implement professional features like shopping carts and user authentication</li><li>Structure applications using object-oriented programming and model-view-controller (MVC) patterns</li><li>Leverage powerful tools like Composer and Twig to accelerate development </li></ul> Starting with PHP fundamentals, you’ll progress through six carefully crafted sections covering essential patterns, security best practices, database integration, and advanced concepts like object-oriented programming. Each chapter builds on real-world examples, giving you the skills to solve common development challenges. Whether you’re a complete beginner or an experienced developer looking to modernize your PHP skills, PHP Crash Course gives you everything you need to build professional, dynamic websites with confidence. Includes setup instructions for Windows, macOS, and Linux, and configuration details for Replit, the free online development environment.

The Complete, Modern, Hands-On Guide

PHP Crash Course

You know how to code, but you're ready to level up. You've heard about the power and performance of C++, a language vital to fields like AI, game development, and high-performance computing. But where do you even start? Existing resources are outdated or overly academic, or they assume a deep understanding of C. You need a guide that respects your existing skills and gets you coding fast with modern C++. This book cuts through the noise, focusing on the essential elements of C++ with hands-on projects that quickly build your skills and confidence. Author and C++ expert Frances Buontempo gets you up to speed quickly with the latest features and best practices of the language, preparing you for more advanced exploration. <ul> <li>Write clean and efficient C++ code </li><li>Understand core concepts and syntax </li><li>Apply various programming approaches, from OOP to functional styles </li><li>Read and understand complex C++ definitions and resources
</li></ul>

The Easy Way to Start Learning Modern C++

Introducing C++

The third edition of this trusted guide shows you how to apply test-driven development (TDD) to building real-world web applications with Python. By writing tests before building each part of your app--and then creating just enough code to pass them--you'll learn how TDD leads to clean, reliable, and maintainable software. Author Harry J.W. Percival takes you through a practical, end-to-end example of web development using Python 3.14 and Django 5. Along the way, you'll explore tools like Selenium, JavaScript, Git, and mocking, and discover how TDD supports better design decisions, encourages continuous improvement, and instills confidence in your codebase. Whether you're a professional developer or just transitioning into web development, this book offers hands-on experience with modern testing workflows and architecture. <ul> <li>Follow the full TDD workflow, from writing tests first to refactoring with confidence </li><li>Write unit tests for core logic and functional tests for browser-based interactions </li><li>Use mock objects to isolate external systems and simplify integration </li><li>Package your application using Docker </li><li>Automate deployments and test your code in a staging environment </li><li>Validate third-party plug-ins and dependencies within your test suite </li><li>Set up continuous integration to run your tests automatically </li><li>Enrich your frontend with test-driven JavaScript </li></ul>

Obey the Testing Goat: Using Django, Selenium, and JavaScript

Test-Driven Development with Python

On today's web, performance isn't just a nice-to-have--it's essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness. Through case studies, modern optimization techniques, and a user-centered approach, you'll learn how to identify bottlenecks, debug performance issues, and apply improvements that make a measurable difference. Grounded in current browser internals and performance metrics, this book prepares you to design and maintain faster, more resilient websites at scale. <ul> <li>Understand how users perceive speed--and why it matters</li> <li>Evaluate and improve performance using key metrics</li> <li>Optimize for stability, responsiveness, and load time</li> <li>Identify and address the most common performance bottlenecks</li> <li>Apply real-world strategies that lead to lasting results</li> </ul>

Mastering Speed and Quality for Ai-Generated Applications

Web Performance Engineering in the Age of AI

Bison: The Yacc-Compatible Parser Generator

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