Great question — this is one of those deceptively tricky Python string topics 👀

Let’s go deep into how to split a string using multiple delimiters (space, comma, period, tab, etc.).


🧠 Background — str.split() Default Behavior

text = "Hello, world. Welcome\tto Python"
print(text.split())  

Output:

['Hello,', 'world.', 'Welcome', 'to', 'Python']

👉 Default split() with no argument splits on any whitespace (' ', '\t', '\n', etc.)
but NOT commas or periods.


❌ Problem

You want to split on spaces, commas, periods, and tabs — like this:

"Hi, there. How are\tyou?"
# Desired output: ['Hi', 'there', 'How', 'are', 'you']

✅ Option 1 — Use re.split() (Recommended)

Regular expressions let you specify multiple delimiters.

import re

text = "Hi, there. How are\tyou?"
words = re.split(r"[ ,.\t]+", text.strip())
print(words)

Output:

['Hi', 'there', 'How', 'are', 'you']

Explanation:

  • r"[ ,.\t]+" means:
    • [ ] → character class
    • → space
    • , → comma
    • . → period (escaped if you want literal .)
    • \t → tab
    • + → one or more occurrences
  • .strip() removes leading/trailing spaces before splitting.

✅ Handles multiple consecutive delimiters automatically (e.g. multiple spaces or commas).


✅ Option 2 — If You Only Need Simple Replacement (No Regex)

You can normalize all separators into a space, then split:

text = "Hi, there. How are\tyou?"
for sep in [',', '.', '\t']:
    text = text.replace(sep, ' ')
words = text.split()
print(words)

Output:

['Hi', 'there', 'How', 'are', 'you']

✅ Works fine for small controlled cases,
❌ But breaks if delimiters are more complex (e.g. ?!;:).


✅ Option 3 — Use Regex to Remove All Non-Alphanumeric (like word tokenizer)

If your goal is to extract only words:

import re
text = "Hi, there. How are\tyou?"
words = re.findall(r"[A-Za-z0-9]+", text)
print(words)

Output:

['Hi', 'there', 'How', 'are', 'you']

This extracts pure tokens (ignores punctuation entirely).
This is similar to tokenization in NLP preprocessing.


🧾 Summary Cheat Table

MethodUse CaseExample
split()Split on whitespace onlytext.split()
split(',')Split on a single delimitertext.split(',')
re.split(r"[ ,.\t]+", text)Split on multiple delimiters
Replace → SplitQuick workaroundtext.replace(',', ' ').split()
re.findall(r"[A-Za-z0-9]+", text)Extract words onlyNLP tokenization

🚀 Best Practice

For clean multi-separator splitting →
always use:

import re
re.split(r"[ ,.\t]+", text.strip())

It’s readable, efficient, and robust.


Would you like me to show how to extend this to also split on symbols like ;, :, !, ?, and parentheses (basically a universal “word tokenizer”)?