Answer:
foiydvoihivherqpiufhqeripufhwpjferifyhgeqwpufwhrfiouerhfpiwruhwriufhriughrpifuwrhfpouwerhfpir3gherqiughwrpijfheriughrgiuehgukjetnbgipuhiugtrihugtrhuigrtuhtrgihugtrihugtrihuggriughrgiuhgthgtehuighirihghtrihuetiughto[ughwer[igut4hg[owjg[toughjr[ough42ouhetgpou4t2gouhpoughogu4tpiu24hgpouthpgouwithjgop2tijgpotu4hgp4igjtoihj2p4oughroug2jt4poiughj2rpougrtihugtrjgtjipoijhuigtrfkopfgtrigtlrijgrijgtju9gt3i;gtju;lk3j3g00j835uj3ggy366j6jujep6ppjysbgtvrjgtroijpgtrijptgwiugtugtjteggteuegtiuogtgtutge5gtuogtuotguutytgju5t5iujugtteg5ut5gugt58ut54ut5grut5rd8u5trdu8jt5rd8ut5r8ut5tttfgig5ri;grgtrtgijpogte5ijopgtijogtri0tg45i0t45ij9gt54p98uhtrhuothjpiughtgutjhpwtoigj2rtg92tjhrwoipj[tigh9ughoghjergouehnpoutehgepogiujtr[ogihewupognetpoiuhqetoighqe[ou\epfouheq-g9uerhfhgprugqetughqe[ougjetiughnqetpoughnqet[ogujqreg[uijt
Heat energy is also present when the bulb glows
Answer:
1. It has a clear objective.
2. It's useful to your audience.
3. It's well-rehearsed.
4. Your presentation deck uses as little text as possible.
5. Your contact information is clearly featured.
6. It includes a call-to-action.
Explanation:
Answer:
The command i will use in carrying out such function is
Explanation;
Kindly check the attached file for the command as it can not be written fully in the answer box.
Answer:
import numpy as np
import matplotlib.pyplot as plt
def calculate_pi(x,y):
points_in_circle=0
for i in range(len(x)):
if np.sqrt(x[i]**2+y[i]**2)<=1:
points_in_circle+=1
pi_value=4*points_in_circle/len(x)
return pi_value
length=np.power(10,6)
x=np.random.rand(length)
y=np.random.rand(length)
pi=np.zeros(7)
sample_size=np.zeros(7)
for i in range(len(pi)):
xs=x[:np.power(10,i)]
ys=y[:np.power(10,i)]
sample_size[i]=len(xs)
pi_value=calculate_pi(xs,ys)
pi[i]=pi_value
print("The value of pi at different sample size is")
print(pi)
plt.plot(sample_size,np.abs(pi-np.pi))
plt.xscale('log')
plt.yscale('log')
plt.xlabel('sample size')
plt.ylabel('absolute error')
plt.title('Error Vs Sample Size')
plt.show()
Explanation:
The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.
