The Smartest Way to Learn Python Regular Expressions
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The Smartest Way to Learn Python Regular Expressions

Learn the Best-Kept Productivity Secret of Code Masters

About the Book

Google engineers are regular expression masters. Why? Because the Google search engine is a massive text-processing engine that extracts value from trillions of webpages. 

Facebook engineers are regular expression masters. Why? Because social networks like Facebook, WhatsApp, and Instagram connect humans via text messages.

Amazon engineers are regular expression masters. Why? Because eCommerce giants ship products based on textual product descriptions. 

When text meets computer science, regular expressions are already here.

The Smartest Way to Learn Python Regex transforms you into a regular expression master.

How? With our three-step, innovative approach, you'll leverage all the scientifically proven insights of excellent teaching.

  • Step 1: Read a book chapter about a regular expression topic to learn all the basics you need to get started. 
  • Step 2: Watch a course video on YouTube to make it stick. We specifically designed the videos to deliver the exact information from the chapter in a nutshell. 
  • Step 3: Solve a code puzzle on to push your understanding to the next level and track your learning progress accurately.

You'll learn vital regular expression topics such as Kleene star, plus operator, matching groups, lookaheads, special characters, character sets, and many more. 

Here's the deal: read this book, and you'll be able to read and understand any regular expression you'll ever encounter in practice.

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    • Python
    • Computers and Programming
    • Perl
    • Computer Science
    • Data Science
    • Machine Learning
    • Mathematics
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About the Authors

Christian Mayer
Christian Mayer

Chris is the founder of the programming education company FINXTER, author of the Coffee Break Python series of self-published books, the popular programming book Python One-Liners (NoStarch 2020), a doctorate computer scientist, and owner of one of the top 10 Python blogs worldwide.

His research interests include graph theory and distributed systems.

You can join the FINXTER email academy and consume a large body of free email courses about various topics in computer science and programming.

Lukas Rieger
Lukas Rieger

I love coding and espacially in Python! Python is easy to learn and at the same time it is very powerful. Through the books I would like to help you to discover this! Therefore we designed our puzzle based teaching approach which helps you to learn quickly what you really need and with fun.

I have been working as a Software developer for several years. Currently I'm in the field of operations/SRE of cloud applications.

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Table of Contents

  1. Introduction
  2. Applications
  3. About
  4. Puzzle Learning
  5. Basics
  6. Special Symbols
  7. Character Sets
  8. Dot Regex
  9. Asterisk Quantifier
  10. Plus Quantifier
  11. ? Quantifier
  12. Quantifier Differentiation
  13. Greediness
  14. Line and String Boundaries
  15. OR Regex
  16. AND Regex
  17. NOT Regex
  18. Matching Groups
  19. Split Method
  20. Substitution Method
  21. Compile Method
  22. Bonus Puzzles
  23. Conclusions

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