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## Checking the standard deviation of above list
## Here printing upto 3 decimal places.
print('%.3f' %st.stdev(l))

#[Output]:
#32.496

## Checking the variance.
print('%.3f' %st.variance(l))

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l1 = [1,2,3,4]
print(l1)

#[Output]:
[1, 2, 3, 4]

print(l1[0])
print(l1[1])

#[Output]:

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## Lists are heterogenous in nature.
l3 = ['a' ,1, 'hello']
print(l3)

#[Output]:
#['a', 1, 'hello']


## Lists are mutable in nature.
l2 = l1

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## len() method
## Checking previously defined l3.
print(len(l3))

#[Output]:
3

## in operator
if 'a' in l3:
     print('Yes, this element is in the list')

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## Checking the index of '1'
l3.index(1)

#[Output]:
#1

## Here we start searching beyond the index in which '1' lies so it throws ValueError
l3.index(1,2)

#[Output]:

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## Append() method
## It added one more new element '7' in the last.
l4.append(7)
print(l4)

#[Output]:
[1, 2, 3, 2, 3, 4, 5, 6, 7]

## We can also add sublist as an element in the original list as we saw earlier, list is ## heterogenpus in nature.
l4.append([1,2])

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## pop() method
l4.pop(5)
print(l4)

#[Output]:
#[1, 2, 3, 2, 3, 4, 5, 6, 7, [1, 2], 'a', 1, 'hello']

l4.pop()
print(l4)

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## sort() method
l5 = [4,5,1,2,8,9,1]
## It will sort the list in ascending order.
l5.sort()
print(l5)

#[Output]:
#[1, 1, 2, 4, 5, 8, 9]

l5 = [4,5,1,2,8,9,1]

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import csv

with open('student_details.csv' , 'r') as csv_file1:
     file1 = csv.reader(csv_file1)
## It will print the csv reader object.
     print(file1)
## It will print each line as a list
     for line in file1:
         print(line)
      

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with open('student_details.csv' , 'r') as csv_file1:
     ## Reading csv file
     file1 = csv.reader(csv_file1)
     ## Now we are creating new file to write a content.
     ## If this file doesn't exist already then it will create on its own.
     ## Opening in write mode.
     with open('student_details2.csv' , 'w') as csv_file2:
     ## Using a 't' delimiter to store values.
         file2 = csv.writer(csv_file2, delimiter='-')
     ## Reading line from file1 and then writing in a new created csv file.