Regular Expression Puzzles and AI Coding Assistants: 24 puzzles solved by the author, with and without assistance from Copilot, ChatGPT and more
- Length: 152 pages
- Edition: 1
- Language: English
- Publisher: Manning
- Publication Date: 2023-04-04
- ISBN-10: 1633437817
- ISBN-13: 9781633437814
- Sales Rank: #1097676 (See Top 100 Books)
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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 contents preface acknowledgments about this book Who should read this book Obtaining the tools used in this book Credits liveBook discussion forum about the author about the cover illustration The map and the territory About regular expressions Rise of the programming machines Caveats Intentional software development As you read Quantifiers and special sub-patterns Puzzle 1 Wildcard scope Author thoughts: What will each pattern match? AI thoughts: CodingNet Puzzle 2 Words and sequences Author thoughts: Think about what defines word boundaries AI thoughts: The transformator Puzzle 3 Endpoint classes Author thoughts: Refine the regular expression to match what we want AI thoughts: Are friends electric? Puzzle 4 A configuration format Author thoughts: Remember that shapes have edges AI thoughts: Notes from the Cyberdyne vault Puzzle 5 The Human Genome Author thoughts: Remember the central dogma of molecular biology AI thoughts: Do androids dream of electric sheep? Pitfalls and sand in the gears Puzzle 6 Catastrophic backtracking Author thoughts: Try hard to avoid catastrophes AI thoughts: Technological singularity Puzzle 7 Playing dominoes Author thoughts: Try to be more efficient than your first thought AI thoughts: A war with sticks and stones Puzzle 8 Advanced dominoes Author thoughts: Thoughts about digrams are always pleasant thoughts AI thoughts: How many readers can pass the Turing Test? Puzzle 9 Sensor art Author thoughts: Find a matching pattern, if possible AI thoughts: My mind is going; I can feel it Creating functions using regexen Puzzle 10 Reimplementing str.count() Author thoughts: How can a regex count the substring occurrences? AI thoughts: Extraordinary machine Puzzle 11 Reimplementing str.count() (stricter) Author thoughts: Write a Python function with the restrictions given AI thoughts: The Horars of War Puzzle 12 Finding a name for a function Author thoughts: Code is read far more often than it is written AI thoughts: There are two hard problems in computer science Puzzle 13 Playing poker (Part 1) Author thoughts: Functions are a big help in larger programs AI thoughts: He can’t read my poker face Puzzle 14 Playing poker (Part 2) Author thoughts: Large buildings are built from small bricks AI thoughts: The society for preventing cruelty to humans Puzzle 15 Playing poker (Part 3) Author thoughts: You better cheat, cheat, if you can’t win AI thoughts: Someday machines will learn to count Puzzle 16 Playing poker (Part 4) Author thoughts: You might risk identifying the “dead man’s hand” AI thoughts: Free will is not free Puzzle 17 Playing poker (Part 5) Author thoughts: Remember that three is more than two, but less than four AI thoughts: Counting to two Easy, difficult, and impossible tasks Puzzle 18 Identifying equal counts Author thoughts: Lateral thinking might help you find the answer AI thoughts: Hic sunt dracones Puzzle 19 Matching before duplicate words Author thoughts: Find a pattern that will fulfill the requirement AI thoughts: Deep fakes in the Chomsky hierarchy Puzzle 20 Testing an IPv4 address Author thoughts: Ask whether regexen are powerful enough for a problem AI thoughts: I want to be a machine Puzzle 21 Matching a numeric sequence Author thoughts: Rule out the impossible to be left with the solution AI thoughts: Wheat and chessboards Puzzle 22 Matching the Fibonacci sequence Author thoughts: The Golden Spiral beautifully generalizes Fibonacci numbers AI thoughts: The fractal geometry of nature Puzzle 23 Matching the prime numbers Author thoughts: Honor the fundamental theorem of arithmetic AI thoughts: Sense and nonsense Puzzle 24 Matching relative prime numbers Author thoughts: Nothing is either true or false but thinking makes it so AI thoughts: Six impossible things before breakfast Conclusions Learning to use regular expressions What tools use regular expressions? Matching patterns in text: The basics Character literals Escaped characters literals Positional special characters The “wildcard” character Grouping regular expressions Using groups for backreferences Character classes Complement operator Alternation of patterns The basic abstract quantifier Matching patterns in text: Intermediate More abstract quantifiers Numeric quantifiers Backreferences Do not match more than you want to Tricks for restraining matches Tricks for restraining matches better Comments on modification tools A note on modification examples A literal-string modification example A pattern-match modification example Modification using backreferences Another warning on mismatching Advanced regular expression extensions About advanced features Non-greedy quantifiers Atomic grouping and possessive quantifiers Pattern-match modifiers Changing backreference behavior Naming backreferences Lookahead assertions Lookbehind assertions Making regular expressions more readable index
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