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PLCs for Beginners

You're reading from   PLCs for Beginners An introductory guide to building robust PLC programs with structured text

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781803230931
Length 380 pages
Edition 1st Edition
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Author (1):
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M. T. White M. T. White
Author Profile Icon M. T. White
M. T. White
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Toc

Table of Contents (25) Chapters Close

Preface 1. Part 1: Basics of Computer Science for PLC Programmers
2. Chapter 1: Computer Science Versus Automation Programming FREE CHAPTER 3. Chapter 2: PLC Components – Integrating PLCs with Other Modules 4. Chapter 3: The Basics of Programming 5. Chapter 4: Unleashing Computer Memory 6. Chapter 5: Designing Programs – Unleashing Pseudocode and Flowcharts 7. Chapter 6: Boolean Algebra 8. Part 2: Introduction to Structured Text Programming
9. Chapter 7: Unlocking the Power of ST 10. Chapter 8: Exploring Variables and Tags 11. Chapter 9: Performing Calculations in Structured Text 12. Chapter 10: Unleashing Built-In Function Blocks 13. Chapter 11: Unlocking the Power of Flow Control 14. Chapter 12: Unlocking Advanced Control Statements 15. Chapter 13: Implementing Tight Loops 16. Part 3: Algorithms, AI, Security, and More
17. Chapter 14: Sorting with Loops 18. Chapter 15: Secure PLC Programming – Stopping Cyberthreats 19. Chapter 16: Troubleshooting PLCs – Fixing Issues 20. Chapter 17: Leveraging Artificial Intelligence (AI) 21. Chapter 18: The Final Project – Programming a Simulated Robot 22. Assessments 23. Index 24. Other Books You May Enjoy

What GenAI can’t do

At the time of writing this book, there is a bunch of hoopla about companies trying desperately to leverage AI to replace their human workforce. As of late, there has been a lot of talk of AI replacing human workers, and this is further compounded by many news stories of large companies laying off thousands of workers. So, a logical question is, what does this mean for us programmers?

Much as with any new technology, it is drastically overrated. Though it is still early in its development, this infant technology cannot fully replace human software developers. Though it can produce quality code and help developers understand and diagnose issues, we will see later on that stock AI systems such as ChatGPT 3.5 produce quality, but compared to the hype, underwhelming code. In all fairness, this is with the standard, non-optimized version of the AI systems. As time progresses and the technology matures and becomes optimized, this may change. However, for now...

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