Try import math and use math.pow() func

It executes and answers 12 0.3660254037844386 -1.3660254037844386, what is your issue with it?

It was the first thing I did, gave another answer.

every time i write this code (different software) give me a different answer.

If you want to solve a 2nd degree polynomial with your code, probably you want to use numpy for consistency and readability. Something like this should work: import numpy as np coeff = [a,b,c] np.roots(coeff)

no, I'm just training rsrs i decide to use something I can control.

it's correct here, i need to fix the other code. I realize that here, I was worry I made a mistake in the syntax

Another shot of solving your issue is using explicit conversion on your code. Something akin to this might solve it d = float(b**2 - (4*a*c)) x1=float((-b + d**(1/2))/(2*a)) x2=float((-b - d**(1/2))/(2*a)) print(d, x1, x2)

What is rsrs?

means a laugh

thanks i'll try this.

Is consistent my mistake must be in something else in the other software. I'm training the new software.

Now I know Brazilian argot lol. Hope you fix your issue

I can use this jajajaja 😀

Ok! This is a math rule: if d =0 then x=-b/2a and x is only

I got to study the software better

Are you running on same operating system and hardware?

I would recommend trying the numpy alternative and see if results are consistent. If not, are you using same Python implementation and version on both software?

I believe it uses a diferent implementation and the imput is strange. Is more complicate than I anticipated. Thanks for all the help

I suspect the two software somehow use different memory space for your variables during execution time. Add this to your code to see what happens: import sys print(sys.getsizeof(d)) print(sys.getsizeof(x1)) print(sys.getsizeof(x2))

Try calculating everything with float numbers.

ok, i'm trying the software is a little complicated but it claims to use python. so...

thank you i'lll try it