The python script can be downloaded here

import math
import numpy as np
import pandas as pd
from lmfit import Model, Parameters
import matplotlib.pyplot as plt
from lmfit import Model, Parameters
import matplotlib.font_manager
import matplotlib.animation as animation
from matplotlib.pyplot import figure
plt.rcParams.update({'font.size': 18})

data_10B = np.loadtxt("10B.txt") 
data_10B = np.rint(data_10B)
data_10C = np.loadtxt("10C.txt") 
data_10C = np.rint(data_10C)
data_10D = np.loadtxt("10D.txt") 
data_10D = np.rint(data_10D)
data_11B = np.loadtxt("11B.txt") 
data_11B = np.rint(data_11B)
data_11C = np.loadtxt("11C.txt") 
data_11C = np.rint(data_11C)

n_10B_50 = (data_10B <50).sum()
n_10B_50_60 = ((data_10B >=50) & (data_10B<60)).sum()
n_10B_60_70 = ((data_10B >=60) & (data_10B<70)).sum()
n_10B_70_80 = ((data_10B >=70) & (data_10B<80)).sum()
n_10B_80_90 = ((data_10B >=80) & (data_10B<90)).sum()
n_10B_90_100 = ((data_10B >=90) & (data_10B<100)).sum()
n_10B_100 = (data_10B == 100 ).sum()
n_10B_avg, n_10B_std = np.mean(data_10B), np.std(data_10B)
print("Physics Grade for 10B")
print("The number of students who scored less than 50 is: ", n_10B_50)
print("The number of students who scored between 50 and 60 is: ", n_10B_50_60)
print("The number of students who scored between 60 and 70 is: ", n_10B_60_70)
print("The number of students who scored between 70 and 80 is: ", n_10B_70_80)
print("The number of students who scored between 80 and 90 is: ", n_10B_80_90)
print("The number of students who scored between 90 and 100 is: ", n_10B_90_100)
print("The number of students who scored 100 is: ", n_10B_100)
print("The average and standard deviation is: ", n_10B_avg, " and ",n_10B_std," respectively.")

Physics Grade for 10B
The number of students who scored less than 50 is:  0
The number of students who scored between 50 and 60 is:  10
The number of students who scored between 60 and 70 is:  23
The number of students who scored between 70 and 80 is:  15
The number of students who scored between 80 and 90 is:  11
The number of students who scored between 90 and 100 is:  3
The number of students who scored 100 is:  2
The average and standard deviation is:  71.421875  and  11.491579372931076  respectively.

n_10C_50 = (data_10C <50).sum()
n_10C_50_60 = ((data_10C >=50) & (data_10C<60)).sum()
n_10C_60_70 = ((data_10C >=60) & (data_10C<70)).sum()
n_10C_70_80 = ((data_10C >=70) & (data_10C<80)).sum()
n_10C_80_90 = ((data_10C >=80) & (data_10C<90)).sum()
n_10C_90_100 = ((data_10C >=90) & (data_10C<100)).sum()
n_10C_100 = (data_10C == 100 ).sum()
n_10C_avg, n_10C_std = np.mean(data_10C), np.std(data_10C)

print("Physics Grade for 10C")
print("The number of students who scored less than 50 is: ", n_10C_50)
print("The number of students who scored between 50 and 60 is: ", n_10C_50_60)
print("The number of students who scored between 60 and 70 is: ", n_10C_60_70)
print("The number of students who scored between 70 and 80 is: ", n_10C_70_80)
print("The number of students who scored between 80 and 90 is: ", n_10C_80_90)
print("The number of students who scored between 90 and 100 is: ", n_10C_90_100)
print("The number of students who scored 100 is: ", n_10C_100)
print("The average and standard deviation is: ", n_10C_avg, " and ",n_10C_std," respectively.")

Physics Grade for 10C
The number of students who scored less than 50 is:  0
The number of students who scored between 50 and 60 is:  5
The number of students who scored between 60 and 70 is:  25
The number of students who scored between 70 and 80 is:  21
The number of students who scored between 80 and 90 is:  10
The number of students who scored between 90 and 100 is:  3
The number of students who scored 100 is:  1
The average and standard deviation is:  71.44615384615385  and  10.457284202861098  respectively.

n_10D_50 = (data_10D <50).sum()
n_10D_50_60 = ((data_10D >=50) & (data_10D<60)).sum()
n_10D_60_70 = ((data_10D >=60) & (data_10D<70)).sum()
n_10D_70_80 = ((data_10D >=70) & (data_10D<80)).sum()
n_10D_80_90 = ((data_10D >=80) & (data_10D<90)).sum()
n_10D_90_100 = ((data_10D >=90) & (data_10D<100)).sum()
n_10D_100 = (data_10D == 100 ).sum()
n_10D_avg, n_10D_std = np.mean(data_10D), np.std(data_10D)

print("Physics Grade for 10D")
print("The number of students who scored less than 50 is: ", n_10D_50)
print("The number of students who scored between 50 and 60 is: ", n_10D_50_60)
print("The number of students who scored between 60 and 70 is: ", n_10D_60_70)
print("The number of students who scored between 70 and 80 is: ", n_10D_70_80)
print("The number of students who scored between 80 and 90 is: ", n_10D_80_90)
print("The number of students who scored between 90 and 100 is: ", n_10D_90_100)
print("The number of students who scored 100 is: ", n_10D_100)
print("The average and standard deviation is: ", n_10D_avg, " and ",n_10D_std," respectively.")

Physics Grade for 10D
The number of students who scored less than 50 is:  0
The number of students who scored between 50 and 60 is:  3
The number of students who scored between 60 and 70 is:  24
The number of students who scored between 70 and 80 is:  25
The number of students who scored between 80 and 90 is:  5
The number of students who scored between 90 and 100 is:  5
The number of students who scored 100 is:  1
The average and standard deviation is:  72.15873015873017  and  10.043091835963583  respectively.

n_11B_50 = (data_11B <50).sum()
n_11B_50_60 = ((data_11B >=50) & (data_11B<60)).sum()
n_11B_60_70 = ((data_11B >=60) & (data_11B<70)).sum()
n_11B_70_80 = ((data_11B >=70) & (data_11B<80)).sum()
n_11B_80_90 = ((data_11B >=80) & (data_11B<90)).sum()
n_11B_90_100 = ((data_11B >=90) & (data_11B<100)).sum()
n_11B_100 = (data_11B == 100 ).sum()
n_11B_avg, n_11B_std = np.mean(data_11B), np.std(data_11B)

print("Physics Grade for 11B")
print("The number of students who scored less than 50 is: ", n_11B_50)
print("The number of students who scored between 50 and 60 is: ", n_11B_50_60)
print("The number of students who scored between 60 and 70 is: ", n_11B_60_70)
print("The number of students who scored between 70 and 80 is: ", n_11B_70_80)
print("The number of students who scored between 80 and 90 is: ", n_11B_80_90)
print("The number of students who scored between 90 and 100 is: ", n_11B_90_100)
print("The number of students who scored 100 is: ", n_11B_100)
print("The average and standard deviation is: ", n_11B_avg, " and ",n_11B_std," respectively.")

Physics Grade for 11B
The number of students who scored less than 50 is:  0
The number of students who scored between 50 and 60 is:  0
The number of students who scored between 60 and 70 is:  11
The number of students who scored between 70 and 80 is:  17
The number of students who scored between 80 and 90 is:  16
The number of students who scored between 90 and 100 is:  4
The number of students who scored 100 is:  0
The average and standard deviation is:  77.02083333333333  and  8.908071207556038  respectively.

n_11C_50 = (data_11C <50).sum()
n_11C_50_60 = ((data_11C >=50) & (data_11C<60)).sum()
n_11C_60_70 = ((data_11C >=60) & (data_11C<70)).sum()
n_11C_70_80 = ((data_11C >=70) & (data_11C<80)).sum()
n_11C_80_90 = ((data_11C >=80) & (data_11C<90)).sum()
n_11C_90_100 = ((data_11C >=90) & (data_11C<100)).sum()
n_11C_100 = (data_11C == 100 ).sum()
n_11C_avg, n_11C_std = np.mean(data_11C), np.std(data_11C)


print("Physics Grade for 11C")
print("The number of students who scored less than 50 is: ", n_11C_50)
print("The number of students who scored between 50 and 60 is: ", n_11C_50_60)
print("The number of students who scored between 60 and 70 is: ", n_11C_60_70)
print("The number of students who scored between 70 and 80 is: ", n_11C_70_80)
print("The number of students who scored between 80 and 90 is: ", n_11C_80_90)
print("The number of students who scored between 90 and 100 is: ", n_11C_90_100)
print("The number of students who scored 100 is: ", n_11C_100)
print("The average and standard deviation is: ", n_11C_avg, " and ",n_11C_std," respectively.")

Physics Grade for 11C
The number of students who scored less than 50 is:  0
The number of students who scored between 50 and 60 is:  1
The number of students who scored between 60 and 70 is:  13
The number of students who scored between 70 and 80 is:  18
The number of students who scored between 80 and 90 is:  14
The number of students who scored between 90 and 100 is:  2
The number of students who scored 100 is:  2
The average and standard deviation is:  76.94  and  10.092393175060115  respectively.

plt.hist(data_10B)
plt.xlabel("Score")
plt.ylabel("Number of Students")
plt.title("Physics Grade (10B)")
plt.savefig('img/10B.png', bbox_inches='tight', pad_inches=1)
plt.show()

plt.hist(data_10C)
plt.xlabel("Score")
plt.ylabel("Number of Students")
plt.title("Physics Grade (10C)")
plt.savefig('img/10C.png', bbox_inches='tight', pad_inches=1)
plt.show()

plt.hist(data_10D)
plt.xlabel("Score")
plt.ylabel("Number of Students")
plt.title("Physics Grade (10D)")
plt.savefig('img/10D.png', bbox_inches='tight', pad_inches=1)
plt.show()

plt.hist(data_11B)
plt.xlabel("Score")
plt.ylabel("Number of Students")
plt.title("Physics Grade (11B)")
plt.savefig('img/11B.png', bbox_inches='tight', pad_inches=1)
plt.show()

plt.hist(data_11C)
plt.xlabel("Score")
plt.ylabel("Number of Students")
plt.title("Physics Grade (11C)")
plt.savefig('img/11C.png', bbox_inches='tight', pad_inches=1)
plt.show()