Stop Using String Methods! When to Use Python Regex (And Why)

Описание: Are you still using Python string methods to extract numbers, validate patterns, or clean complex text?
It works… until it doesn’t.

In this video, I explain why string methods fail in real-world text processing and when Python Regex is the right tool.

🔍 What you’ll learn:
Limitations of Python string methods (split, find, replace)
Real problems string methods cannot solve
How Regex handles patterns, variations, and edge cases
When to choose string methods vs regex
Clean, scalable, and professional text processing techniques
This video is must-watch if you’re preparing for:
Python interviews
Data Science / ML projects
NLP tasks
Competitive coding

📌 Regex is not complicated — misusing string methods is.

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✅ ⏱️ Timestamps:
00:00 - 🎯 Objectives
00:59 - 🔢 Problem 1: Extract Numbers from a String — Solved with Regex
04:16 - ✅ Problem 2: Check if a String Is a Number — Regex Solution
05:55 - 📝 Problem 3: Extract Words from a Sentence — Regex Fix
08:38 - ✂️ Problem 4: Split Text Using Multiple Separators — Regex Fix
10:48 - 🔍 Problem 5: Limitations of String Search (in operator) — Regex Fix
12:28 - 📍 Problem 6: Issues with String find() Method — Regex Solution
16:52 - 🔄 Problem 7: Problems with String replace() — Solved with Regex
18:32 - 🔡 Problem 8: Case-Insensitive Search — Regex Solution
20:01 - 🚫 When NOT to Use Regex
22:29 - 🧠 Test Your Understanding
23:37 - 🚀 What’s Next?

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