🔁 Itertools
This module implements a number of iterator building blocks inspired by constructs from APL, Haskell, and SML.
💡 Quick Tip:
Mastering this concept will significantly boost your Python data science skills!
💻 Code Example:
import itertools
# Count starting from 10
for i in itertools.count(10):
if i > 15:
break
print(i)| Feature | Benefit |
|---|---|
| Efficiency | Optimized for performance |
| Simplicity | Easy to read and write |
Keep exploring and happy coding! 🚀