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Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs. Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT. Here's how the contest works: David invents 24 Regex problems he calls puzzles and shows you how to tackle each one. When he's done, he has Copilot and ChatGPT work the same puzzles. What they produce intrigues him. Which side is likelier to get it right? Which will write simple and elegant code? Which makes smarter use of lesser known Regex library features? Read the book to find out. David also offers AI best practices, showing how smart prompts return better results. By the end, you'll be a master at solving your own Regex puzzles, whether you use AI or not. About the technology Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software. But how do these AI assistants, like ChatGPT and GitHub Copilot, measure up against regular expressions—a workhorse technology for developers used to describe, find, and manipulate patterns in text. Regular expressions are compact, complex, and subtle. Will AI assistants handle the challenge? About the book Regular Expression Puzzles and AI Coding Assistants is the perfect starting point for programmers of any experience level who want to understand the capabilities—and the limitations—of these exciting new tools. Author David Mertz presents 24 challenging regex puzzles, their traditional human-made solutions, and the fascinating answers given by popular AI assistants. Alongside these eye-opening puzzles you’ll learn how to write prompts, integrate AI-generated coding suggestions, and interact with the assistant to get the results you want. By the end of the book, you'll have a clear understanding of where AI assistants can reliably write code for you and where you’ll still need a human touch. Plus, you’ll learn a lot about regular expressions! About the reader Code examples use simple Python and Regular Expressions. No experience with AI coding tools required. About the author David Mertz is the founder of KDM Training and an acclaimed contributor to the Python community. He is also the author of The Puzzling Quirks of Regular Expressions, Cleaning Data for Effective Data Science: Doing the Other 80% of the Work, and other books. Regular Expression Puzzles and AI Coding Assistants 1 contents 5 preface 10 acknowledgments 12 about this book 13 Who should read this book 14 Obtaining the tools used in this book 14 Credits 15 liveBook discussion forum 17 about the author 18 about the cover illustration 19 The map and the territory 20 About regular expressions 22 Rise of the programming machines 23 Caveats 24 Intentional software development 25 As you read 26 Quantifiers and special sub-patterns 28 Puzzle 1 Wildcard scope 29 Author thoughts: What will each pattern match? 29 AI thoughts: CodingNet 32 Puzzle 2 Words and sequences 32 Author thoughts: Think about what defines word boundaries 33 AI thoughts: The transformator 34 Puzzle 3 Endpoint classes 35 Author thoughts: Refine the regular expression to match what we want 35 AI thoughts: Are friends electric? 36 Puzzle 4 A configuration format 39 Author thoughts: Remember that shapes have edges 39 AI thoughts: Notes from the Cyberdyne vault 40 Puzzle 5 The Human Genome 41 Author thoughts: Remember the central dogma of molecular biology 43 AI thoughts: Do androids dream of electric sheep? 43 Pitfalls and sand in the gears 47 Puzzle 6 Catastrophic backtracking 47 Author thoughts: Try hard to avoid catastrophes 49 AI thoughts: Technological singularity 51 Puzzle 7 Playing dominoes 53 Author thoughts: Try to be more efficient than your first thought 54 AI thoughts: A war with sticks and stones 55 Puzzle 8 Advanced dominoes 57 Author thoughts: Thoughts about digrams are always pleasant thoughts 58 AI thoughts: How many readers can pass the Turing Test? 58 Puzzle 9 Sensor art 61 Author thoughts: Find a matching pattern, if possible 62 AI thoughts: My mind is going; I can feel it 63 Creating functions using regexen 66 Puzzle 10 Reimplementing str.count() 66 Author thoughts: How can a regex count the substring occurrences? 67 AI thoughts: Extraordinary machine 68 Puzzle 11 Reimplementing str.count() (stricter) 69 Author thoughts: Write a Python function with the restrictions given 70 AI thoughts: The Horars of War 72 Puzzle 12 Finding a name for a function 73 Author thoughts: Code is read far more often than it is written 73 AI thoughts: There are two hard problems in computer science 74 Puzzle 13 Playing poker (Part 1) 74 Author thoughts: Functions are a big help in larger programs 75 AI thoughts: He can’t read my poker face 76 Puzzle 14 Playing poker (Part 2) 80 Author thoughts: Large buildings are built from small bricks 80 AI thoughts: The society for preventing cruelty to humans 82 Puzzle 15 Playing poker (Part 3) 84 Author thoughts: You better cheat, cheat, if you can’t win 85 AI thoughts: Someday machines will learn to count 85 Puzzle 16 Playing poker (Part 4) 87 Author thoughts: You might risk identifying the “dead man’s hand” 87 AI thoughts: Free will is not free 88 Puzzle 17 Playing poker (Part 5) 91 Author thoughts: Remember that three is more than two, but less than four 91 AI thoughts: Counting to two 93 Easy, difficult, and impossible tasks 96 Puzzle 18 Identifying equal counts 96 Author thoughts: Lateral thinking might help you find the answer 97 AI thoughts: Hic sunt dracones 97 Puzzle 19 Matching before duplicate words 99 Author thoughts: Find a pattern that will fulfill the requirement 99 AI thoughts: Deep fakes in the Chomsky hierarchy 100 Puzzle 20 Testing an IPv4 address 102 Author thoughts: Ask whether regexen are powerful enough for a problem 103 AI thoughts: I want to be a machine 104 Puzzle 21 Matching a numeric sequence 106 Author thoughts: Rule out the impossible to be left with the solution 107 AI thoughts: Wheat and chessboards 107 Puzzle 22 Matching the Fibonacci sequence 109 Author thoughts: The Golden Spiral beautifully generalizes Fibonacci numbers 110 AI thoughts: The fractal geometry of nature 111 Puzzle 23 Matching the prime numbers 113 Author thoughts: Honor the fundamental theorem of arithmetic 114 AI thoughts: Sense and nonsense 115 Puzzle 24 Matching relative prime numbers 116 Author thoughts: Nothing is either true or false but thinking makes it so 117 AI thoughts: Six impossible things before breakfast 118 Conclusions 119 Learning to use regular expressions 121 What tools use regular expressions? 122 Matching patterns in text: The basics 122 Character literals 123 Escaped characters literals 123 Positional special characters 124 The “wildcard” character 125 Grouping regular expressions 125 Using groups for backreferences 126 Character classes 126 Complement operator 127 Alternation of patterns 128 The basic abstract quantifier 129 Matching patterns in text: Intermediate 129 More abstract quantifiers 129 Numeric quantifiers 130 Backreferences 131 Do not match more than you want to 132 Tricks for restraining matches 133 Tricks for restraining matches better 134 Comments on modification tools 134 A note on modification examples 135 A literal-string modification example 135 A pattern-match modification example 135 Modification using backreferences 136 Another warning on mismatching 136 Advanced regular expression extensions 137 About advanced features 137 Non-greedy quantifiers 137 Atomic grouping and possessive quantifiers 138 Pattern-match modifiers 140 Changing backreference behavior 141 Naming backreferences 141 Lookahead assertions 142 Lookbehind assertions 143 Making regular expressions more readable 143 index 145 Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs.Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT. Here's how the contest works: David invents 24 Regex problems he calls puzzles and shows you how to tackle each one. When he's done, he has Copilot and ChatGPT work the same puzzles. What they produce intrigues him. Which side is likelier to get it right? Which will write simple and elegant code? Which makes smarter use of lesser known Regex library features? Read the book to find out. David also offers AI best practices, showing how smart prompts return better results. By the end, you'll be a master at solving your own Regex puzzles, whether you use AI or not. About the technology Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software. But how do these AI assistants, like ChatGPT and GitHub Copilot, measure up against regular expressions—a workhorse technology for developers used to describe, find, and manipulate patterns in text. Regular expressions are compact, complex, and subtle. Will AI assistants handle the challenge? About the book Regular Expression Puzzles and AI Coding Assistants is the perfect starting point for programmers of any experience level who want to understand the capabilities—and the limitations—of these exciting new tools. Author David Mertz presents 24 challenging regex puzzles, their traditional human-made solutions, and the fascinating answers given by popular AI assistants. Alongside these eye-opening puzzles you'll learn how to write prompts, integrate AI-generated coding suggestions, and interact with the assistant to get the results you want. By the end of the book, you'll have a clear understanding of where AI assistants can reliably write code for you and where you'll still need a human touch. Plus, you'll learn a lot about regular expressions! About the reader Code examples use simple Python and Regular Expressions. No experience with AI coding tools required. About the author David Mertz is the founder of KDM Training and an acclaimed contributor to the Python community. He is also the author of The Puzzling Quirks of Regular Expressions, Cleaning Data for Effective Data Science: Doing the Other 80% of the Work, and other books. Table of Contents 1 The map and the territory 2 Quantifiers and special sub-patterns 3 Pitfalls and sand in the gears 4 Creating functions using regex 5 Easy, difficult, and impossible tasks 6 Conclusions Appendix A: Learning to use regular expressions Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs. Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT. Here's how the contest David invents 24 Regex problems he calls puzzles and shows you how to tackle each one. When he's done, he has Copilot and ChatGPT work the same puzzles. What they produce intrigues him. Which side is likelier to get it right? Which will write simple and elegant code? Which makes smarter use of lesser known Regex library features? Read the book to find out. David also offers AI best practices, showing how smart prompts return better results. By the end, you'll be a master at solving your own Regex puzzles, whether you use AI or not. About the technology Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software. But how do these AI assistants, like ChatGPT and GitHub Copilot, measure up against regular expressionsa workhorse technology for developers used to describe, find, and manipulate patterns in text. Regular expressions are compact, complex, and subtle. Will AI assistants handle the challenge? About the book Regular Expression Puzzles and AI Coding Assistants is the perfect starting point for programmers of any experience level who want to understand the capabilitiesand the limitationsof these exciting new tools. Author David Mertz presents 24 challenging regex puzzles, their traditional human-made solutions, and the fascinating answers given by popular AI assistants. Alongside these eye-opening puzzles youll learn how to write prompts, integrate AI-generated coding suggestions, and interact with the assistant to get the results you want. By the end of the book, you'll have a clear understanding of where AI assistants can reliably write code for you and where youll still need a human touch. Plus, youll learn a lot about regular expressions! About the reader Code examples use simple Python and Regular Expressions. No experience with AI coding tools required. About the author David Mertz is the founder of KDM Training and an acclaimed contributor to the Python community. He is also the author of The Puzzling Quirks of Regular Expressions, Cleaning Data for Effective Data Doing the Other 80% of the Work, and other books. Table of Contents 1 The map and the territory 2 Quantifiers and special sub-patterns 3 Pitfalls and sand in the gears 4 Creating functions using regex 5 Easy, difficult, and impossible tasks 6 Conclusions Appendix Learning to use regular expressions