lst = input("Enter a,b,c: ").split(",")
a = float(lst[0])
b = float(lst[1])
c = float(lst[2])
root1 = (-b + ((b**2-(4*a*c))**0.5))/(2*a)
root2 = (-b - ((b**2-(4*a*c))**0.5))/(2*a)
dis = b**2 - (4*a*c)
if dis > 0:
print("The roots are {} and {}".format(root1, root2))
elif dis < 0:
print("The equation has no real roots")
else:
print("The root is {}".format(root1))
I wrote my code in python 3.8. I hope this helps!
When delivering digital technologies to clients, a best practice is to: Recommend the client spread out their data centers to distribute energy usage globally.
<h3>What is a
computational sustainability?</h3>
Computational sustainability can be defined as a process through which societal, economic, ecological and environmental resources are balanced through the use of various mathematical and computational techniques.
<h3>The importance of
computational sustainability</h3>
Generally, computational sustainability helps to produce sufficient amount of energy for the world to globally distribute and support its biological systems.
In order to achieve computational sustainability, it is essential to practice the following:
- Ensure that software applications are widespread.
- Clients should spread out their data centers.
In conclusion, a best practice for delivering digital technologies to clients is to recommend a spread out of data centers to distribute energy usage globally.
Read more on computational sustainability here: brainly.com/question/24882256
