Industrial 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 data 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.

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