GENIUS One-Liner For Generating Random Numbers In Python 😳

Genius one-liner for generating a list of random numbers in #Python. #Shorts

[asgard_]

The actual one-liner for this would be
print([__import__("random").randint(1, 100) for _ in range(100)])

[altairbueno]

One liner: proceeds to use 4 lines at minimum

[anuragtewary]

import random;print(random.sample(range(100), k=100))

[PhilippLackner]

If you use semicolons you can make a whole program only needing one line (just some inspiration for the next video)

[the_linguist_ll]

Meanwhile in R:

sample(0:100, 100)

[grantpeterson]

Use generators whenever possible. They are lazily evaluated, meaning that only a single number is taken up in memory at a time instead of the whole list. i.e., if you're using this list in a for loop and aren't going to loop over it more than once. You make a generator by using "()" instead of "[]"

[mauro]

Rn = random.sample(list(range(100)), 100)
Print (rn)

[YungHurdy]

Awesome tip definitely needed this before I coded cows and bulls but still it’s good to know

[white_]

when random number generator in python is already one liner

[abir]

Only true geniuses know that randint has an argument called "size" and numpy array has a tolist() to convert numpy array to list if needed

[jjophoven]

wow!!! genius!!!! one in a million!!! no one could every come up with that!!!!

[dansmith]

Is there a way of ensuring each number is only generated once?

[jonah]

Bro why not use numpy random number generators the syntax requires no for loop

[kingjames]

so what are the odds of getting the 100 numbers to go in perfect ascending order?

[dominobuilder]

What’s genius about this? I thought you would show the genius solution after the normal one but you just showed the normal one??

[amankumarjaiswar]

Does thia generate true random numbers or do the numbers follow uniform distribution??

[Ghost-Raccoon]

That's not genius at all... Don't use list comprehension when there are dedicated functions for that.

[yicha]

Me chilling with node.js math.floor(math.random())

[suhailmall]

Doesn't np.random.randint() take a size input as well?
So you call it with size=10 and it'll generate a 1d-array of that size

[benedictnwani]

How would you make this without duplicates?