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Python Regular Expressions

A Little Guide

Python + Regex? You may not find this combination easy, which partly happens because of the Python’s obfuscated regex documentation too!

In this little book, to make your life easy, less words, but more examples are used that you should be able to complete in less than 30 minutes!

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About

About

About the Book

Python + Regex?

Many of you do not find this combination easy, which partly happens because of the Python's obfuscated regex documentation too! In this course, to make your life easy, we have used some real-world examples. The goals are: - Teach you how to use the Python regular expressions (re) module and relevant functions by running interactive examples.

Projects included:

  • Project 2: Parsing data from a HTML file with Python and REGEX
  • Project 3: PDF scraping in Python + REGEX
  • Project 4: Web scraping in Python + REGEX
  • Project 5: Amazon web crawling in Python + REGEX

This is a short course, should be pretty quick and easy to complete. However, it assumes that you have basic Python skills (see the other Python courses on this platform).

This book serves three simple goals:

  • Teach you how to use the Python regular expressions (re) module and relevant functions by running examples;
  • Educate you to deal with projects with real world data examples (e.g., pdf and web scraping, more coming soon!);
  • Challenge you with coding exercises and quizzes; and

This book should be pretty quick and easy to complete. However, it assumes that you have basic Python skills (see the other Python books on this platform).

Get also the interactive version

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About the Author

Scientific Programming School

Scientific programming is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems. 

The Scientific programming school team helps you to learn the use of scientific programming languages, such as CUDA, Julia, OpenMP, MPI, C++, Matlab, Octave, Bash, Python Sed and AWK including RegEx in processing scientific and real-world data. The team is formed by PhD educated instructors in the areas of Computational Sciences.

The team deploys interactive courses at Scientific Programming School (now Learnitive.com) which is an interactive and advanced e-learning platform for learning scientific coding giving you the opportunity to run scientific codes/ OS commands as you learn with playgrounds and Interactive shells inside your browser.

Contents

Table of Contents

Python RegEx

  1. Python regex match function
  2. Python regex search function
  3. Python regex match vs. search functions
  4. Python regex group functions
  5. Python regex sub function for search and replace
  6. Python regex split function
  7. Python regex findall function
  8. Python regex compile function
  9. Python regex finditer function
  10. Python Regex - Lookarounds and Greedy Search
  11. Python Lookahead
  12. Python Look behind
  13. Python Lazy and Greedy Search
  14. Project 2: Parsing data from a HTML file with Python and REGEX
  15. Project 3: PDF scraping in Python + REGEX
  16. Project 4: Web scraping in Python + REGEX
  17. Project 5: Amazon web crawling in Python + REGEX
  18. Quiz # 1 - REGEX Patterns
  19. Quiz # 2 Python REGEX Functions
  20. References

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