Stop Parsing Strings By Hand — Python Regex (re Module) Explained | Ep 51
You're still validating emails with .split() or writing messy string parsing code?
After this video, you'll master Python's re module and never parse text manually again.
✅ re.match / re.search / re.findall / re.sub
✅ Metacharacters, character classes & quantifiers
✅ Groups + Named Groups (super useful!)
✅ Lookaheads, Lookbehinds & Advanced Patterns
✅ re.compile + Flags (IGNORECASE, MULTILINE, DOTALL)
✅ Real Project: AI Dataset Text Cleaner
✅ Live Build: Email + Phone Number Extractor
This is Episode 51 of the *Bonus Arc (EP51–EP70)* — practical Python for real AI projects before the full Agentic AI series.
⏱ CHAPTERS:
00:00 - The Messy Text Problem (Why .split() fails)
00:50 - Why EP50 Wasn’t Actually the Finale
02:00 - Why Regex Matters in 2026
03:15 - Core Functions: match, search, findall, sub
04:40 - Metacharacters Deep Dive
06:10 - Groups & Named Groups
08:05 - LIVE BUILD: Email + Phone Extractor
09:35 - Lookaheads & Lookbehinds
11:05 - re.compile + Flags
12:20 - 3 Common Mistakes (Don’t Make These!)
13:25 - Mini Project: Clean AI Training Dataset
14:30 - Challenge + Final Thoughts
🛠 Challenge in this video → Solution available in GitHub repo:
https://github.com/CodeToAGI
💬 What’s the messiest text you’ve had to clean? Comment below!
#Python #Regex #reModule
Next Episode (Tomorrow): Web Scraping with BeautifulSoup & requests 🔥