Regular expression puzzles and AI coding assistants:
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 an...
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch Video |
Sprache: | Englisch |
Veröffentlicht: |
[Place of publication not identified]
Manning Publications
[2023]
|
Ausgabe: | Video edition. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781633437814VE/?ar |
Zusammenfassung: | 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. Quotes AI coding assistants are here, and they're transforming how programming is and will be done. If you know regular expressions, pick up this book and learn all about AI coding assistants. If you don't know regular expressions, well, pick it up anyway and experience how you learn with AI coding assistants. - Dr. Daniel Zingaro University of Toronto, author of Algorithmic Thinking How these tools can be both so very amazing in what they produce, and simultaneously so utterly doltish in their numerous failures, is the main thing this book tries to understand. For reasons I attempt to elucidate throughout, of all the domains of computer programming, games with regular expressions are particularly well suited for getting a grasp on the peculiar behaviors of AI. - From the Preface I am a strong believer in Augmented Intelligence and welcome tools such as ChatGPT & Co-Pilot. To take meaningful steps toward Augmented Intelligence, we will need to understand both Humans' and Machines' strengths and weaknesses. This is where David's book comes in. Through the puzzles, David was able to show it well. Strongly recommended for anyone who is looking to use Artificial Intelligence for their business, to tap into its strength and prepare for potential risks. - Koo Ping Shung, Data Science Rex. |
Beschreibung: | Narrator not identified. - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023) |
Umfang: | 1 Online-Ressource (1 video file (3 hr., 42 min.)) sound, color. |
Internformat
MARC
LEADER | 00000cgm a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-093386052 | ||
003 | DE-627-1 | ||
005 | 20240228122002.0 | ||
006 | m o | | | ||
007 | cr uuu---uuuuu | ||
008 | 230626s2023 xx ||| |o o ||eng c | ||
035 | |a (DE-627-1)093386052 | ||
035 | |a (DE-599)KEP093386052 | ||
035 | |a (ORHE)9781633437814VE | ||
035 | |a (DE-627-1)093386052 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
082 | 0 | |a 006.3 |2 23/eng/20230523 | |
100 | 1 | |a Mertz, David |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Regular expression puzzles and AI coding assistants |c David Mertz |
250 | |a Video edition. | ||
264 | 1 | |a [Place of publication not identified] |b Manning Publications |c [2023] | |
300 | |a 1 Online-Ressource (1 video file (3 hr., 42 min.)) |b sound, color. | ||
336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Narrator not identified. - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023) | ||
520 | |a 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. Quotes AI coding assistants are here, and they're transforming how programming is and will be done. If you know regular expressions, pick up this book and learn all about AI coding assistants. If you don't know regular expressions, well, pick it up anyway and experience how you learn with AI coding assistants. - Dr. Daniel Zingaro University of Toronto, author of Algorithmic Thinking How these tools can be both so very amazing in what they produce, and simultaneously so utterly doltish in their numerous failures, is the main thing this book tries to understand. For reasons I attempt to elucidate throughout, of all the domains of computer programming, games with regular expressions are particularly well suited for getting a grasp on the peculiar behaviors of AI. - From the Preface I am a strong believer in Augmented Intelligence and welcome tools such as ChatGPT & Co-Pilot. To take meaningful steps toward Augmented Intelligence, we will need to understand both Humans' and Machines' strengths and weaknesses. This is where David's book comes in. Through the puzzles, David was able to show it well. Strongly recommended for anyone who is looking to use Artificial Intelligence for their business, to tap into its strength and prepare for potential risks. - Koo Ping Shung, Data Science Rex. | ||
650 | 0 | |a Regular expressions (Computer science) | |
650 | 0 | |a Artificial intelligence |x Computer programs | |
650 | 4 | |a Expressions rationnelles (Informatique) | |
650 | 4 | |a Intelligence artificielle ; Logiciels | |
650 | 4 | |a Artificial intelligence ; Computer programs | |
650 | 4 | |a Regular expressions (Computer science) | |
650 | 4 | |a Instructional films | |
650 | 4 | |a Internet videos | |
650 | 4 | |a Nonfiction films | |
650 | 4 | |a Instructional films | |
650 | 4 | |a Nonfiction films | |
650 | 4 | |a Internet videos | |
650 | 4 | |a Films de formation | |
650 | 4 | |a Films autres que de fiction | |
650 | 4 | |a Vidéos sur Internet | |
710 | 2 | |a Manning (Firm), |e Verlag |4 pbl | |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781633437814VE/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
935 | |c vide | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-093386052 |
---|---|
_version_ | 1821494941392568320 |
adam_text | |
any_adam_object | |
author | Mertz, David |
author_facet | Mertz, David |
author_role | aut |
author_sort | Mertz, David |
author_variant | d m dm |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)093386052 (DE-599)KEP093386052 (ORHE)9781633437814VE |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
edition | Video edition. |
format | Electronic Video |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05907cgm a22005412 4500</leader><controlfield tag="001">ZDB-30-ORH-093386052</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228122002.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230626s2023 xx ||| |o o ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)093386052</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP093386052</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781633437814VE</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)093386052</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23/eng/20230523</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mertz, David</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Regular expression puzzles and AI coding assistants</subfield><subfield code="c">David Mertz</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Video edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified]</subfield><subfield code="b">Manning Publications</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 video file (3 hr., 42 min.))</subfield><subfield code="b">sound, color.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Narrator not identified. - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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. Quotes AI coding assistants are here, and they're transforming how programming is and will be done. If you know regular expressions, pick up this book and learn all about AI coding assistants. If you don't know regular expressions, well, pick it up anyway and experience how you learn with AI coding assistants. - Dr. Daniel Zingaro University of Toronto, author of Algorithmic Thinking How these tools can be both so very amazing in what they produce, and simultaneously so utterly doltish in their numerous failures, is the main thing this book tries to understand. For reasons I attempt to elucidate throughout, of all the domains of computer programming, games with regular expressions are particularly well suited for getting a grasp on the peculiar behaviors of AI. - From the Preface I am a strong believer in Augmented Intelligence and welcome tools such as ChatGPT & Co-Pilot. To take meaningful steps toward Augmented Intelligence, we will need to understand both Humans' and Machines' strengths and weaknesses. This is where David's book comes in. Through the puzzles, David was able to show it well. Strongly recommended for anyone who is looking to use Artificial Intelligence for their business, to tap into its strength and prepare for potential risks. - Koo Ping Shung, Data Science Rex.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Regular expressions (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Computer programs</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Expressions rationnelles (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle ; Logiciels</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence ; Computer programs</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Regular expressions (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films de formation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films autres que de fiction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Manning (Firm),</subfield><subfield code="e">Verlag</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781633437814VE/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="c">vide</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-093386052 |
illustrated | Not Illustrated |
indexdate | 2025-01-17T11:22:23Z |
institution | BVB |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (1 video file (3 hr., 42 min.)) sound, color. |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | Manning Publications |
record_format | marc |
spelling | Mertz, David VerfasserIn aut Regular expression puzzles and AI coding assistants David Mertz Video edition. [Place of publication not identified] Manning Publications [2023] 1 Online-Ressource (1 video file (3 hr., 42 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Narrator not identified. - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023) 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. Quotes AI coding assistants are here, and they're transforming how programming is and will be done. If you know regular expressions, pick up this book and learn all about AI coding assistants. If you don't know regular expressions, well, pick it up anyway and experience how you learn with AI coding assistants. - Dr. Daniel Zingaro University of Toronto, author of Algorithmic Thinking How these tools can be both so very amazing in what they produce, and simultaneously so utterly doltish in their numerous failures, is the main thing this book tries to understand. For reasons I attempt to elucidate throughout, of all the domains of computer programming, games with regular expressions are particularly well suited for getting a grasp on the peculiar behaviors of AI. - From the Preface I am a strong believer in Augmented Intelligence and welcome tools such as ChatGPT & Co-Pilot. To take meaningful steps toward Augmented Intelligence, we will need to understand both Humans' and Machines' strengths and weaknesses. This is where David's book comes in. Through the puzzles, David was able to show it well. Strongly recommended for anyone who is looking to use Artificial Intelligence for their business, to tap into its strength and prepare for potential risks. - Koo Ping Shung, Data Science Rex. Regular expressions (Computer science) Artificial intelligence Computer programs Expressions rationnelles (Informatique) Intelligence artificielle ; Logiciels Artificial intelligence ; Computer programs Instructional films Internet videos Nonfiction films Films de formation Films autres que de fiction Vidéos sur Internet Manning (Firm), Verlag pbl |
spellingShingle | Mertz, David Regular expression puzzles and AI coding assistants Regular expressions (Computer science) Artificial intelligence Computer programs Expressions rationnelles (Informatique) Intelligence artificielle ; Logiciels Artificial intelligence ; Computer programs Instructional films Internet videos Nonfiction films Films de formation Films autres que de fiction Vidéos sur Internet |
title | Regular expression puzzles and AI coding assistants |
title_auth | Regular expression puzzles and AI coding assistants |
title_exact_search | Regular expression puzzles and AI coding assistants |
title_full | Regular expression puzzles and AI coding assistants David Mertz |
title_fullStr | Regular expression puzzles and AI coding assistants David Mertz |
title_full_unstemmed | Regular expression puzzles and AI coding assistants David Mertz |
title_short | Regular expression puzzles and AI coding assistants |
title_sort | regular expression puzzles and ai coding assistants |
topic | Regular expressions (Computer science) Artificial intelligence Computer programs Expressions rationnelles (Informatique) Intelligence artificielle ; Logiciels Artificial intelligence ; Computer programs Instructional films Internet videos Nonfiction films Films de formation Films autres que de fiction Vidéos sur Internet |
topic_facet | Regular expressions (Computer science) Artificial intelligence Computer programs Expressions rationnelles (Informatique) Intelligence artificielle ; Logiciels Artificial intelligence ; Computer programs Instructional films Internet videos Nonfiction films Films de formation Films autres que de fiction Vidéos sur Internet |
work_keys_str_mv | AT mertzdavid regularexpressionpuzzlesandaicodingassistants AT manningfirm regularexpressionpuzzlesandaicodingassistants |