Kaengi takehiro (6 Ergebnisse)
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingProcedural Generation and AI in Game Design introduces readers to the core techniques behind dynamic, replayable video game experiences.This book explores how procedural generation and artificial intelligence can be combined to create rich, responsive game worlds. Through p…ractical examples using Python and Unity, it covers the implementation of stochastic algorithms, dynamic systems, and optimization methods for achieving better balance and variety in gameplay.Readers will learn how to build adaptive content, generate environments and mechanics algorithmically, and integrate AI to enhance game systems. The focus remains on clear, implementable approaches that bridge technical concepts with real game design outcomes.Whether you are an intermediate developer or an experienced programmer interested in procedural and AI-driven design, this book offers structured guidance for applying these powerful tools in Unity-based game projects.Key Topics: - Procedural generation fundamentals- Stochastic algorithms and randomness in design- Dynamic systems and adaptive content- Balance optimization techniques- Integration of Python with Unity for procedural workflows.
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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingIndustrial automation increasingly depends on reliable data movement between machines, sensors, control systems, and business workflows. Industrial Automation with Python introduces practical methods for using Python to collect, process, monitor, and organize industrial dat…a across modern factory environments.This book is designed for engineers, technicians, developers, analysts, and technically curious professionals who want to understand how Python can support PLC data handling, SCADA integration, sensor monitoring, and factory data workflows. Rather than treating automation as a purely mechanical or electrical discipline, it focuses on the data layer that connects equipment, software, and operational decision-making.Inside, readers will explore how industrial systems communicate, how plant-floor data can be structured, and how Python can be used to build scripts, dashboards, logging tools, and integration workflows. Topics include PLC data concepts, SCADA system interaction, sensor data collection, industrial communication patterns, data validation, event logging, fault monitoring, and workflow automation for production environments.The book emphasizes clarity, practical structure, and real-world industrial context. It avoids unnecessary complexity while still giving readers a strong foundation for building dependable Python-based automation tools.Whether you are supporting a manufacturing line, improving equipment visibility, building internal monitoring systems, or learning how software fits into modern industrial operations, this guide provides a grounded introduction to using Python in industrial automation.
