List Comprehensions in Python || Part - 1
In this video, I have discussed the basics of List Comprehension.
List comprehensions should be used as they are much faster, easier to write, and more understandable.
It's again widely used in general as well Functional Programming, difficulty-wise, it's considered to be intermediate.
Syntax:
output = [expression for item in iterable]
Example:
op = [item for item in range(100)]
print(op)
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Tip: Have fun with Functional Programming
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Happy Coding ahead 👨🎓🌟✨
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