Python

Calendar Module:

The calendar module allows you to output calendars like a program and includes extra calendar-related operations. Calendar module functions and classes make use of an idealized calendar, the current Gregorian calendar extended in both directions indefinitely.

monthdatescalendar() Method:

The monthdatescalendar() method returns a list of full weeks for a given month of the year. Weeks are lists of seven datetime. date objects.

Syntax:

monthdatescalendar(year, month)

Note:

datetime.date: A date object represents a date (year, month, and day) in an idealised calendar, which is the existing Gregorian calendar expanded in both directions indefinitely. January 1 of year 1 is referred to as day number 1, January 2 of year 1 is referred to as day number 2, and so on. This corresponds to the definition of the “proleptic Gregorian” calendar in Dershowitz and Reingold’s book Calendrical Calculations, where it serves as the base for all computations.

Parameter Values:

year: This is required. It is a number. The year for which the calendar should be created.

month: This is required. It is a number. The month for which the calendar should be created.

Return Value: This function returns a list of weeks in the month.

Program for calendar monthdatescalendar() Method with Examples in Python

• Using Built-in Functions (Static Input)
• Using Built-in Functions (User Input)

Method #1: Using Built-in Functions (Static Input)

Example1: Using For Loop

Approach:

• Import calendar module using the import keyword.
• Give the year as static input and store it in a variable.
• Give the month as static input and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply monthdatescalendar() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as static input and store it in a variable.
gvn_yr = 2020
# Give the month as static input and store it in another variable.
gvn_mont = 4
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply monthdatescalendar() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.monthdatescalendar(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

[datetime.date(2020, 3, 30), datetime.date(2020, 3, 31), datetime.date(2020, 4, 1), datetime.date(2020, 4, 2), datetime.date(2020, 4, 3), datetime.date(2020, 4, 4), datetime.date(2020, 4, 5)]
[datetime.date(2020, 4, 6), datetime.date(2020, 4, 7), datetime.date(2020, 4, 8), datetime.date(2020, 4, 9), datetime.date(2020, 4, 10), datetime.date(2020, 4, 11), datetime.date(2020, 4, 12)]
[datetime.date(2020, 4, 13), datetime.date(2020, 4, 14), datetime.date(2020, 4, 15), datetime.date(2020, 4, 16), datetime.date(2020, 4, 17), datetime.date(2020, 4, 18), datetime.date(2020, 4, 19)]
[datetime.date(2020, 4, 20), datetime.date(2020, 4, 21), datetime.date(2020, 4, 22), datetime.date(2020, 4, 23), datetime.date(2020, 4, 24), datetime.date(2020, 4, 25), datetime.date(2020, 4, 26)]
[datetime.date(2020, 4, 27), datetime.date(2020, 4, 28), datetime.date(2020, 4, 29), datetime.date(2020, 4, 30), datetime.date(2020, 5, 1), datetime.date(2020, 5, 2), datetime.date(2020, 5, 3)]

Example2:

Approach:

• Import calendar module using the import keyword.
• Give the year as static input and store it in a variable.
• Give the month as static input and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply monthdatescalendar() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Print the above result.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as static input and store it in a variable.
gvn_yr = 2012
# Give the month as static input and store it in another variable.
gvn_mont = 6
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply monthdatescalendar() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.monthdatescalendar(gvn_yr, gvn_mont)
# Print the above result.
print(rslt)

Output:

[[datetime.date(2012, 5, 28), datetime.date(2012, 5, 29), datetime.date(2012, 5, 30), datetime.date(2012, 5, 31), datetime.date(2012, 6, 1), datetime.date(2012, 6, 2), datetime.date(2012, 6, 3)], [datetime.date(2012, 6, 4), datetime.date(2012, 6, 5), datetime.date(2012, 6, 6), datetime.date(2012, 6, 7), datetime.date(2012, 6, 8), datetime.date(2012, 6, 9), datetime.date(2012, 6, 10)], [datetime.date(2012, 6, 11), datetime.date(2012, 6, 12), datetime.date(2012, 6, 13), datetime.date(2012, 6, 14), datetime.date(2012, 6, 15), datetime.date(2012, 6, 16), datetime.date(2012, 6, 17)], [datetime.date(2012, 6, 18), datetime.date(2012, 6, 19), datetime.date(2012, 6, 20), datetime.date(2012, 6, 21), datetime.date(2012, 6, 22), datetime.date(2012, 6, 23), datetime.date(2012, 6, 24)], [datetime.date(2012, 6, 25), datetime.date(2012, 6, 26), datetime.date(2012, 6, 27), datetime.date(2012, 6, 28), datetime.date(2012, 6, 29), datetime.date(2012, 6, 30), datetime.date(2012, 7, 1)]]

Method #2: Using Built-in Functions (User Input)

Example1: Using For Loop

Approach:

• Import calendar module using the import keyword.
• Give the year as user input using the int(input()) function and store it in a variable.
• Give the month as user input using the int(input()) function and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply monthdatescalendar() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as user input using the int(input()) function and store it in a variable.
gvn_yr = int(input("Enter some random year = "))
# Give the month as user input using the int(input()) function and store it in another variable.
gvn_mont = int(input("Enter some random month = "))
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply monthdatescalendar() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.monthdatescalendar(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

Enter some random year = 2017
Enter some random month = 3
[datetime.date(2017, 2, 27), datetime.date(2017, 2, 28), datetime.date(2017, 3, 1), datetime.date(2017, 3, 2), datetime.date(2017, 3, 3), datetime.date(2017, 3, 4), datetime.date(2017, 3, 5)]
[datetime.date(2017, 3, 6), datetime.date(2017, 3, 7), datetime.date(2017, 3, 8), datetime.date(2017, 3, 9), datetime.date(2017, 3, 10), datetime.date(2017, 3, 11), datetime.date(2017, 3, 12)]
[datetime.date(2017, 3, 13), datetime.date(2017, 3, 14), datetime.date(2017, 3, 15), datetime.date(2017, 3, 16), datetime.date(2017, 3, 17), datetime.date(2017, 3, 18), datetime.date(2017, 3, 19)]
[datetime.date(2017, 3, 20), datetime.date(2017, 3, 21), datetime.date(2017, 3, 22), datetime.date(2017, 3, 23), datetime.date(2017, 3, 24), datetime.date(2017, 3, 25), datetime.date(2017, 3, 26)]
[datetime.date(2017, 3, 27), datetime.date(2017, 3, 28), datetime.date(2017, 3, 29), datetime.date(2017, 3, 30), datetime.date(2017, 3, 31), datetime.date(2017, 4, 1), datetime.date(2017, 4, 2)]

Calendar Module:

The calendar module allows you to output calendars like a program and includes extra calendar-related operations. Calendar module functions and classes make use of an idealized calendar, the current Gregorian calendar extended in both directions indefinitely.

monthdays2calendar() Method:

The monthdays2calendar() method returns a list of full weeks in the specified month of the year. Weeks are a list of seven tuples of day and weekday numbers.

Syntax:

monthdays2calendar(year, month)

Parameter Values:

year: This is required. It is a number. The year for which the calendar should be created.

month: This is required. It is a number. The month for which the calendar should be created.

Return Value: This function returns a list of weeks in the month.

Program for calendar monthdays2calendar() Method with Examples in Python

• Using Built-in Functions (Static Input)
• Using Built-in Functions (User Input)

Method #1: Using Built-in Functions (Static Input)

Example1: Using For Loop

Approach:

• Import calendar module using the import keyword.
• Give the year as static input and store it in a variable.
• Give the month as static input and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply monthdays2calendar() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as static input and store it in a variable.
gvn_yr = 2020
# Give the month as static input and store it in another variable.
gvn_mont = 4
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply monthdays2calendar() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.monthdays2calendar(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

[(0, 0), (0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]
[(6, 0), (7, 1), (8, 2), (9, 3), (10, 4), (11, 5), (12, 6)]
[(13, 0), (14, 1), (15, 2), (16, 3), (17, 4), (18, 5), (19, 6)]
[(20, 0), (21, 1), (22, 2), (23, 3), (24, 4), (25, 5), (26, 6)]
[(27, 0), (28, 1), (29, 2), (30, 3), (0, 4), (0, 5), (0, 6)]

Example2:

Approach:

• Import calendar module using the import keyword.
• Give the year as static input and store it in a variable.
• Give the month as static input and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply monthdays2calendar() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Print the above result.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as static input and store it in a variable.
gvn_yr = 2012
# Give the month as static input and store it in another variable.
gvn_mont = 6
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply monthdays2calendar() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.monthdays2calendar(gvn_yr, gvn_mont)
# Print the above result.
print(rslt)

Output:

[[(0, 0), (0, 1), (0, 2), (0, 3), (1, 4), (2, 5), (3, 6)], [(4, 0), (5, 1), (6, 2), (7, 3), (8, 4), (9, 5), (10, 6)], [(11, 0), (12, 1), (13, 2), (14, 3), (15, 4), (16, 5), (17, 6)], [(18, 0), (19, 1), (20, 2), (21, 3), (22, 4), (23, 5), (24, 6)], [(25, 0), (26, 1), (27, 2), (28, 3), (29, 4), (30, 5), (0, 6)]]

Method #2: Using Built-in Functions (User Input)

Example1: Using For Loop

Approach:

• Import calendar module using the import keyword.
• Give the year as user input using the int(input()) function and store it in a variable.
• Give the month as user input using the int(input()) function and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply monthdays2calendar() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as user input using the int(input()) function and store it in a variable.
gvn_yr = int(input("Enter some random year = "))
# Give the month as user input using the int(input()) function and store it in another variable.
gvn_mont = int(input("Enter some random month = "))
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply monthdays2calendar() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.monthdays2calendar(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

Enter some random year = 2014
Enter some random month = 7
[(0, 0), (1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6)]
[(7, 0), (8, 1), (9, 2), (10, 3), (11, 4), (12, 5), (13, 6)]
[(14, 0), (15, 1), (16, 2), (17, 3), (18, 4), (19, 5), (20, 6)]
[(21, 0), (22, 1), (23, 2), (24, 3), (25, 4), (26, 5), (27, 6)]
[(28, 0), (29, 1), (30, 2), (31, 3), (0, 4), (0, 5), (0, 6)]

Calendar Module:

The calendar module allows you to output calendars like a program and includes extra calendar-related operations. Calendar module functions and classes make use of an idealized calendar, the current Gregorian calendar extended in both directions indefinitely.

itermonthdays2() Method:

The itermonthdays2() method, returns an iterator for the month in the year like itermonthdates(). Days will be returned as tuples of a day number and a week day number.

Syntax:

itermonthdays2(year, month)

Parameter Values:

year: This is required. It is a number. The year for which the calendar should be created.

month: This is required. It is a number. The month for which the calendar should be created.

Return Value: Iterator for the month is returned.

Program for calendar itermonthdays2() Method with Examples in Python

• Using Built-in Functions (Static Input)
• Using Built-in Functions (User Input)

Method #1: Using Built-in Functions (Static Input)

Example1:

Approach:

• Import calendar module using the import keyword.
• Give the year as static input and store it in a variable.
• Give the month as static input and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply itermonthdays2() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as static input and store it in a variable.
gvn_yr = 2020
# Give the month as static input and store it in another variable.
gvn_mont = 4
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply itermonthdays2() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.itermonthdays2(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

(0, 0)
(0, 1)
(1, 2)
(2, 3)
(3, 4)
(4, 5)
(5, 6)
(6, 0)
(7, 1)
(8, 2)
(9, 3)
(10, 4)
(11, 5)
(12, 6)
(13, 0)
(14, 1)
(15, 2)
(16, 3)
(17, 4)
(18, 5)
(19, 6)
(20, 0)
(21, 1)
(22, 2)
(23, 3)
(24, 4)
(25, 5)
(26, 6)
(27, 0)
(28, 1)
(29, 2)
(30, 3)
(0, 4)
(0, 5)
(0, 6)

Example2:

Approach:

• Import calendar module using the import keyword.
• Give the year as static input and store it in a variable.
• Give the month as static input and store it in another variable.
• Call the Calendar() function by setting firstweekday=2 and store it in another variable.
• Apply itermonthdays2() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as static input and store it in a variable.
gvn_yr = 2011
# Give the month as static input and store it in another variable.
gvn_mont = 6
# Call the Calendar() function by setting firstweekday=2 and store it in
# another variable.
calendr = calendar.Calendar(firstweekday=2)
# Apply itermonthdays2() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.itermonthdays2(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

(1, 2)
(2, 3)
(3, 4)
(4, 5)
(5, 6)
(6, 0)
(7, 1)
(8, 2)
(9, 3)
(10, 4)
(11, 5)
(12, 6)
(13, 0)
(14, 1)
(15, 2)
(16, 3)
(17, 4)
(18, 5)
(19, 6)
(20, 0)
(21, 1)
(22, 2)
(23, 3)
(24, 4)
(25, 5)
(26, 6)
(27, 0)
(28, 1)
(29, 2)
(30, 3)
(0, 4)
(0, 5)
(0, 6)
(0, 0)
(0, 1)

Method #2: Using Built-in Functions (User Input)

Example1:

Approach:

• Import calendar module using the import keyword.
• Give the year as user input using the int(input()) function and store it in a variable.
• Give the month as user input using the int(input()) function and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply itermonthdays2() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as user input using the int(input()) function and store it in a variable.
gvn_yr = int(input("Enter some random year = "))
# Give the month as user input using the int(input()) function and store it in another variable.
gvn_mont = int(input("Enter some random month = "))
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply itermonthdays2() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.itermonthdays2(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

Enter some random year = 2003
Enter some random month = 2
(0, 0)
(0, 1)
(0, 2)
(0, 3)
(0, 4)
(1, 5)
(2, 6)
(3, 0)
(4, 1)
(5, 2)
(6, 3)
(7, 4)
(8, 5)
(9, 6)
(10, 0)
(11, 1)
(12, 2)
(13, 3)
(14, 4)
(15, 5)
(16, 6)
(17, 0)
(18, 1)
(19, 2)
(20, 3)
(21, 4)
(22, 5)
(23, 6)
(24, 0)
(25, 1)
(26, 2)
(27, 3)
(28, 4)
(0, 5)
(0, 6)

Calendar Module:

The calendar module allows you to output calendars like a program and includes extra calendar-related operations. Calendar module functions and classes make use of an idealized calendar, the current Gregorian calendar extended in both directions indefinitely.

itermonthdates() Method:

Itermonthdates() returns an iterator for the specified month (1-12) of the year.
This iterator will return all days (as datetime.date objects) for the month, as well as all days before or after the start or end of the month that are required to complete a week.

Syntax:

itermonthdates(year, month)

Note:

datetime.date: A date object represents a date (year, month, and day) in an idealized calendar, which is the existing Gregorian calendar stretched in both directions indefinitely. January 1 of year 1 is referred to as day number 1, January 2 of year 1 is referred to as day number 2, and so on.

Parameter Values:

year: This is required. It is a number. The year for which the calendar should be created.

month: This is required. It is a number. The month for which the calendar should be created.

Return Value:

Returns an iterator for the specified month (1-12) of the year.

Program for calendar itermonthdates() Method with Examples in Python

• Using Built-in Functions (Static Input)
• Using Built-in Functions (User Input)

Method #1: Using Built-in Functions (Static Input)

Example1:

Approach:

• Import calendar module using the import keyword.
• Give the year as static input and store it in a variable.
• Give the month as static input and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply itermonthdates() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as static input and store it in a variable.
gvn_yr = 2020
# Give the month as static input and store it in another variable.
gvn_mont = 3
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply itermonthdates() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.itermonthdates(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

2020-02-24
2020-02-25
2020-02-26
2020-02-27
2020-02-28
2020-02-29
2020-03-01
2020-03-02
2020-03-03
2020-03-04
2020-03-05
2020-03-06
2020-03-07
2020-03-08
2020-03-09
2020-03-10
2020-03-11
2020-03-12
2020-03-13
2020-03-14
2020-03-15
2020-03-16
2020-03-17
2020-03-18
2020-03-19
2020-03-20
2020-03-21
2020-03-22
2020-03-23
2020-03-24
2020-03-25
2020-03-26
2020-03-27
2020-03-28
2020-03-29
2020-03-30
2020-03-31
2020-04-01
2020-04-02
2020-04-03
2020-04-04
2020-04-05

Example2:

Approach:

• Import calendar module using the import keyword.
• Give the year as static input and store it in a variable.
• Give the month as static input and store it in another variable.
• Call the Calendar() function by setting firstweekday=2 and store it in another variable.
• Apply itermonthdates() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as static input and store it in a variable.
gvn_yr = 2012
# Give the month as static input and store it in another variable.
gvn_mont = 5
# Call the Calendar() function by setting firstweekday=2 and store it in
# another variable.
calendr = calendar.Calendar(firstweekday=2)
# Apply itermonthdates() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.itermonthdates(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

2012-04-25
2012-04-26
2012-04-27
2012-04-28
2012-04-29
2012-04-30
2012-05-01
2012-05-02
2012-05-03
2012-05-04
2012-05-05
2012-05-06
2012-05-07
2012-05-08
2012-05-09
2012-05-10
2012-05-11
2012-05-12
2012-05-13
2012-05-14
2012-05-15
2012-05-16
2012-05-17
2012-05-18
2012-05-19
2012-05-20
2012-05-21
2012-05-22
2012-05-23
2012-05-24
2012-05-25
2012-05-26
2012-05-27
2012-05-28
2012-05-29
2012-05-30
2012-05-31
2012-06-01
2012-06-02
2012-06-03
2012-06-04
2012-06-05

Method #2: Using Built-in Functions (User Input)

Example1:

Approach:

• Import calendar module using the import keyword.
• Give the year as user input using the int(input()) function and store it in a variable.
• Give the month as user input using the int(input()) function and store it in another variable.
• Call the Calendar() function and store it in another variable.
• Apply itermonthdates() method to the above calendar by passing the given year, month as the arguments and store it in another variable.
• Iterate in the above result using the for loop.
• Inside the loop, print the iterator value.
• The Exit of the Program.

Below is the implementation:

# Import calendar module using the import keyword.
import calendar
# Give the year as user input using the int(input()) function and store it in a variable.
gvn_yr = int(input("Enter some random year = "))
# Give the month as user input using the int(input()) function and store it in another variable.
gvn_mont = int(input("Enter some random month = "))
# Call the Calendar() function and store it in another variable.
calendr = calendar.Calendar()
# Apply itermonthdates() method to the above calendar by passing the given year,
# month as the arguments and store it in another variable.
rslt = calendr.itermonthdates(gvn_yr, gvn_mont)
# Iterate in the above result using the for loop.
for itr in rslt:
    # Inside the loop, print the iterator value.
    print(itr)

Output:

Enter some random year = 2018
Enter some random month = 6
2018-05-28
2018-05-29
2018-05-30
2018-05-31
2018-06-01
2018-06-02
2018-06-03
2018-06-04
2018-06-05
2018-06-06
2018-06-07
2018-06-08
2018-06-09
2018-06-10
2018-06-11
2018-06-12
2018-06-13
2018-06-14
2018-06-15
2018-06-16
2018-06-17
2018-06-18
2018-06-19
2018-06-20
2018-06-21
2018-06-22
2018-06-23
2018-06-24
2018-06-25
2018-06-26
2018-06-27
2018-06-28
2018-06-29
2018-06-30
2018-07-01

Deque:

In Python, the module “collections” is used to implement a Deque (Double Ended Queue). Deque is chosen over list when we need faster append and pop operations from both ends of the container, as deque has an O(1) time complexity for append and pop operations, whereas list has an O(n) time complexity.

Access Operations on Deque():

append():

append() function adds the value in its argument to the right end of the 
deque.

appendleft():

 appendleft() function inserts the value in its argument to the left end of
 the deque.

pop():

 pop() function is used to remove an argument from the deque's right end.

popleft():

 popleft() function is used to remove an argument from the deque's left end.

index(ele, beg, end):

 This method returns the first index of the value specified in parameters,
 beginning with beg and ending with end index.

insert(i, a):

Inserts the value specified in arguments(a) at the index(i) specified in
arguments.

remove():

This function deletes the first occurrence of the value specified in the 
parameters.

count():

This function counts the number of times the value specified in arguments 
appears.

extend(iterable):

This function adds several values to the right end of a deque. 
The passed argument is iterable.

extendleft(iterable):

This function is used to add numerous values to the deque's left end. 
The passed argument is iterable. As a result of left appends, the order is 
reversed.

reverse():

 This function reverses the order of deque elements.

rotate():

This function rotates the deque by the number of arguments supplied. 
If the provided integer is negative, the rotation is to the left. Otherwise, 
rotate to the right.

collections Deque() Method with Examples in Python

1)append(), appendleft(), pop() ,popleft() Operations on deque

Approach:

• Import collections module using the import keyword.
• Give the list as static input and store it in a variable.
• Pass the given list as an argument to the deque() function for initializing the deque and store it in another variable.
• Append some random element to the deque using the append() function to insert an element at the right end of a deque.
• Print the deque after appending.
• Append left some random element to the deque using the appendleft() function to insert an element at the left end of a deque. It inserts an element at the beginning.
• Print the deque after appending.
• Apply pop() method to remove an element from the right end of the deque.
• Print the deque after poping.
• Apply popleft() method to remove an element from the left end of the deque.
• Print the deque after applying popleft() function.
• The Exit of the Program.

Below is the implementation:

# Import collections module using the import keyword
import collections
# Give the list as static input and store it in a variable.
gvn_lst = [5, 6, 7]
# Pass the given list as an argument to the deque() function for initializing the
# deque and store it in another variable.
dequ = collections.deque(gvn_lst)
# Append some random element to the deque using the append() function to insert an
# element at the right end of a deque.
dequ.append(8)
# Print the deque after appending right.
print("After appending at the right, the deque = ")
print(dequ)
# Append left some random element to the deque using the appendleft() function to
# insert an element at the left end of a deque. It inserts an element at
# the beginning.
dequ.appendleft(1)
# Print the deque after appending left.
print("After appending at the left, the deque = ")
print(dequ)
# Apply pop() method to remove an element from the right end of the deque.
dequ.pop()
# Print the deque after poping.
print("After deleting from the right, the deque = ")
print(dequ)
# Apply popleft() method to remove an element from the left end of the deque.
dequ.popleft()
# Print the deque after applying popleft() function.
print("After deleting from the left, the deque = ")
print(dequ)

Output:

After appending at the right, the deque = 
deque([5, 6, 7, 8])
After appending at the left, the deque = 
deque([1, 5, 6, 7, 8])
After deleting from the right, the deque = 
deque([1, 5, 6, 7])
After deleting from the left, the deque = 
deque([5, 6, 7])

2)index(), insert(), count() ,remove() Operations on deque

Approach:

• Import collections module using the import keyword.
• Give the list as static input and store it in a variable.
• Pass the given list as an argument to the deque() function for initializing the deque and store it in another variable.
• Print the index of the first occurrence of an element using the index() method by passing the element, starting, and ending value as the arguments.
• Pass the position and some random value as the arguments to the insert() method to insert an element at the specified position.
• Print the deque after inserting.
• Count the frequency of an element using the count() method by passing the value as an argument and print the result.
•  Remove the first occurrence of an element using the remove() method by passing the element as an argument.
• Print the deque after removing the first occurrence of a specified element.
• The Exit of the Program.

Below is the implementation:

# Import collections module using the import keyword
import collections
# Give the list as static input and store it in a variable.
gvn_lst = [5, 6, 5, 7, 6, 5, 8, 3]
# Pass the given list as an argument to the deque() function for initializing the
# deque and store it in another variable.
dequ = collections.deque(gvn_lst)
# Print the index of first occurrence of an element using the index() method by passing
# the element, starting and ending value as the arguments.
print("The index of first occurrence of 5 = ")
print(dequ.index(5, 1, 6))
# Pass the position and some random value and as the arguments to the insert() method
# to insert an element at the specified position.
dequ.insert(5, 9)
# Print the deque after inserting.
print("After inserting 9 in the 6th position the deque becomes: ")
print(dequ)
# Count the frequency of an element using the count() method by passing the value
# as an argument and print it.
print("In deque, the frequency of 5 =  ")
print(dequ.count(5))
# Remove the first occurrence of an element using the remove() method by passing
# the element as an argument.
dequ.remove(6)
# Print the deque after removing the first occurrence of a specified element.
print("After removing the first occurrence of 6, the deque = ")
print(dequ)

Output:

The index of first occurrence of 5 = 
2
After inserting 9 in the 6th position the deque becomes: 
deque([5, 6, 5, 7, 6, 9, 5, 8, 3])
In deque, the frequency of 5 =  
3
After removing the first occurrence of 6, the deque = 
deque([5, 5, 7, 6, 9, 5, 8, 3])

3)extend(), extendleft(), rotate() ,reverse() Operations on deque

Approach:

• Import collections module using the import keyword.
• Give the list as static input and store it in a variable.
• Pass the given list as an argument to the deque() function for initializing the deque and store it in another variable.
• Add some random numbers to the right end to the deque using the extend() method by passing the list as an argument.
• Print the deque after extending to the right end.
• Add some random numbers to the left end to the deque using the extendleft() method by passing the list as an argument.
• Print the deque after extending to the left end.
• Rotate the deque by left/right using the rotate() method by passing some value as an argument. The deque rotates by 2 to the left.
• Print the deque after rotation by 2 to the left.
• Reverse the deque by using the reverse() method.
• Print the deque after reversing.
• The Exit of the Program.

Below is the implementation:

# Import collections module using the import keyword
import collections
# Give the list as static input and store it in a variable.
gvn_lst = [5, 6, 7]
# Pass the given list as an argument to the deque() function for initializing the
# deque and store it in another variable.
dequ = collections.deque(gvn_lst)
# Add some random numbers to the right end to the deque using the extend()
# method by passing the list as an argument.
dequ.extend([8, 9, 10])
# Print the deque after extending to the right end.
print("After extending to the right end, the deque = ")
print(dequ)
# Add some random numbers to the left end to the deque using the extendleft()
# method by passing the list as an argument.
dequ.extendleft([11, 12, 13])
# Print the deque after extending to the left end.
print("After extending to the left end(beginning), the deque = ")
print(dequ)
# Rotate the deque by left/right using the rotate() method by passing some value as
# an argument.
# The deque rotates by 2 to the left.
dequ.rotate(-2)
# Print the deque after rotation by 2 to the left.
print("After rotation by 2 to the left, the deque = ")
print(dequ)
# Reverse the deque by using the reverse() method.
dequ.reverse()
# Print the deque after reversing.
print("After reversing, the deque = ")
print(dequ)

Output:

After extending to the right end, the deque = 
deque([5, 6, 7, 8, 9, 10])
After extending to the left end(beginning), the deque = 
deque([13, 12, 11, 5, 6, 7, 8, 9, 10])
After rotation by 2 to the left, the deque = 
deque([11, 5, 6, 7, 8, 9, 10, 13, 12])
After reversing, the deque = 
deque([12, 13, 10, 9, 8, 7, 6, 5, 11])

Coding is arguably the most important skill for todays and future generations. Learners can solve problems creatively and logically by using various programming languages.

Most college students select a coding boot camp based on the programming language they wish to learn. Python has recently become the most popular language among college students in data science and coding boot camps. Here are the reasons why Python is so popular right now.

1) Python is extremely versatile, with numerous applications.
Python is used in Data Mining, Data Science, AI, Machine Learning, Web Development, Web Frameworks, Embedded Systems, Graphic Design applications, Gaming, Network development, Product development, Rapid Application Development, Testing, Automation Scripting, and so on.

Python is used as a simpler and more efficient alternative to languages such as C, R, and Java that perform similar functions. As a result, Python is becoming more popular as the primary language for many applications.

2) Python is easier to learn

Python is consistently cited for having a gentle learning curve that most college students find easier to adapt to. Unlike other programming languages like C++, Python has most of its libraries organized, which means that you won’t have to struggle a lot to create new libraries.

Python allows you to express a lot of functionality more clearly with a few lines of code than other programming languages. If you are assigned to write an essay on Python in college, you can easily relate to the various classes and functions used or seek assistance from the available essay sites that provide assistance 24/7 days.

Python has scalability.

3) Language Interpretation
Python is an interpreted language, which means that the code is executed line by line. In the event of an error, it suspends further execution and reports the error.

Even if the program contains multiple errors, Python displays only one. This facilitates debugging.

4) Python is Portable
Many programming languages, such as C/C++, require you to change your code in order to run the programme on different platforms. Python, on the other hand, is not the same. You only need to write it once and then run it anywhere.

You should, however, take care not to include any system-dependent features.

5) Python has Compatibility with the Internet of Things(IOT) devices
The Internet of Things (IoT) is a network of physical objects linked together by sensors, various software, and other technologies. In most cases, it works without requiring human-to-human or human-to-computer interaction. If you look around your neighborhood, you will notice that IoT devices are everywhere and taking on new forms as their levels of communication advance.

6) Provides Maximum Flexibility and Extensibility

Python gives you the flexibility, scalability, and extensibility you require. Because it is a cross-platform language, it works well on all platforms, including Windows, Linux, and macOS. You should also be aware that if you want to execute Python code written for Windows, Mac, or Linux – you can do so without difficulty. Python enables developers to easily perform cross-language operations and can be easily integrated with Java,.NET components, or C/C++ libraries.

Its extensive nature enables it to be effectively extended to other programming languages. Furthermore, because Python is an interpreted language, you do not need to compile your program before running it, as you would with Java or C++. Furthermore, it is a dynamically typed language, which means that you do not need to specify the data type when declaring it. Python is, in fact, a more flexible, portable, and extensible programming language when compared to other programming languages.

7) Open-Source and Free
Python is distributed under the OSI-approved open-source licence. As a result, it is free to use and distribute. You can download the source code, modify it, and even distribute your own Python version. This is beneficial for organizations that want to change a specific behavior and use their version for development.

8) Libraries and Frameworks:

Python has a wide range of open-source libraries, frameworks, and modules at your disposal to do whatever you want. When compared to other languages, it makes application development extremely simple.

It simplifies your job because you only have to concentrate on business logic. Python has a plethora of libraries and frameworks to meet a variety of needs. For web development frameworks, Django and Flask are two of the most popular, while NumPy and SciPy libraries are for data science.

9) Excellent, open community
Python has a large and illustrious community that has been at the forefront of data science and machine learning projects for decades. Robotic engineering is advancing rapidly in various parts of the world, including medicine and disaster management, thanks to Python.

When deciding on a programming language to study at the college level, consider the available learning resources as well as the impact of the wording on community projects. Human labor is included in learning resources because, in most cases, you will need to consult with your friends to fix bugs that you will encounter.

10) Website Design and Development
Learn Python to make your development process as simple as possible. There are numerous Django and Flask libraries and frameworks available to make your coding more productive and efficient.
When comparing PHP and Python, you’ll notice that the same task can be accomplished in PHP in a matter of hours. However, with Python, it will only take a few minutes. Take a look at the Reddit website — it was built with Python.

some full-stack Python frameworks for web development are:
Django, Pyramid, Web2py, TurboGears

here are some Python web development micro-frameworks:
Flask, Bottle, CherryPy, Hug

There is also an alternative framework you may want to consider:
Tornado

11)Python in machine learning and artificial intelligence

Python is used in machine learning and artificial intelligence, both of which are at the cutting edge of technology.
Machine learning and artificial intelligence are everywhere, from Uber ETAs to Google finishing your sentences and Netflix predicting which shows you’ll like.

It’s exciting to think about where we’re going when we consider how recent many of these developments are. Without a doubt, Python will be at the forefront of AI innovation.

Python, according to experts, is the best programming language for machine learning and artificial intelligence. Its extensive libraries and frameworks are ideal for getting new ideas off the ground (more on this later). Furthermore, it is relatively brief and supported by a large community of programmers who are known for documenting their successes and failures.

So, if you want to be in “the room where it happens,” the apex of the most exciting new technologies like machine learning and more, learning Python is unquestionably beneficial.

12)Python in Automation or Robotics
Using Python automation frameworks such as PYunit provides numerous benefits:
There are no additional modules to install. They come in a box.
Even if you have no prior experience with Python, you will find working with Unittest to be very easy. It is derived, and its operation is similar to that of other xUnit frameworks.
You can conduct isolated experiments in a more straightforward manner. You should simply type the names into the terminal. The output is also compact, making the structure adaptable when it comes to running test cases.
The test reports are produced in milliseconds.

Conclusion

Python is one of the high-level, object-oriented programming languages with built-in data structures and dynamic semantics that college students can easily learn. You will learn a variety of programming paradigms, such as structures, functional programming, and object-oriented programming, which are highly applicable in a variety of fields. Learning this programming language will also introduce you to other modules and packages that facilitate program modularity and code reuse.

Web Development

Web development is complicated, and as a web developer, you have several options for the best language to use to achieve your web development goals. The programming language you choose will be determined in large part by how you want the end application to respond and how complex the coding required to achieve your goals must be. You could, for example, use JavaScript, which is a popular language for many web development tasks.

However, there are a variety of other options, and in this article, we’ll look at Python and why you might want to use Python for your next web development task. To evaluate Python’s use on the web, we must first consider a number of factors.

What role does Python play in web development?

Python is a programming language that can be used to create server-side web applications. While a web framework is not required to build web apps, it is uncommon for developers to not use existing open source libraries to expedite the development of their applications.

Python is not supported in web browsers. JavaScript is the language used by browsers such as Chrome, Firefox, and Internet Explorer. Python-to-JavaScript compilers, such as pyjs, are available. Most Python developers, however, use a combination of Python and JavaScript to create web applications. Python is run on the server, whereas JavaScript is downloaded to the client and executed by the web browser.

The Benefits of Developing Web Apps in Python:

1. Simple to Learn

2. More in-built libraries and frameworks.

3. Very Fast prototyping.

4. Python is one of the most popular programming languages in the world.

5. Good visualizations.

6. Coding Asynchronously
Because there are no deadlocks, research contention, or other perplexing issues, writing and maintaining asynchronous code in Python is simple. Each unit of such code runs independently, allowing you to handle a variety of situations and problems more quickly.

7. OOPS becomes less difficult.

Web frameworks that are written in Python

What are web frameworks and why do they matter?

Consider a toolbox. A web framework is a collection of pre-written, standardized code packages and modules that support the development of web applications, making development faster and easier, and your programs more reliable and scalable. In other words, frameworks already include components that “set up” your project, requiring you to do less grunt work.

Python web frameworks are only used in the backend to help with URL routing, HTTP requests and responses, database access, and web security. While using a web framework is not required, it is highly recommended because it allows you to develop complex applications in significantly less time.

some full-stack Python frameworks for web development are:

Django, Pyramid, Web2py, TurboGears

By far the most popular Python web development frameworks are Django and Flask.

Django:

Django is an open-source, high-level Python web framework that “encourages rapid development and clean, pragmatic design.” It’s quick, safe, and scalable. Django has a large community and extensive documentation.

Django is extremely adaptable, allowing you to work with everything from MVPs to large corporations. Instagram, Dropbox, Pinterest, and Spotify are just a few of the large companies that use Django.

Pyramid:

You can start small and scale up as needed with this framework. Pyramid can be used with a variety of databases and applications, or it can be extended with plugins, allowing developers to add whatever functionality they require. This is useful when you need to implement multiple solutions in a single task.

Flask:

Flask is a microframework, which is a lightweight web framework. It lacks many of the features and functionality that full-stack frameworks like Django provide, such as a web template engine, account authorization, and authentication.

Flask is minimalistic and lightweight, which means that you must add extensions and libraries as you code rather than having them provided by the framework.

Flask’s philosophy is that it provides only the components required to build an app, giving you flexibility and control.

Its Application in Scientific and Numeric Applications

For developing scientific and numerical applications, there are numerous packages and libraries available, as well as toolkits (e.g., VTK 3D and MayaVi), a separate imaging library, and numerous other tools.

The most frequently used ones are:

1. SciPy: It is a Scientific Numeric Library.

2. Pandas: It is a library for Data Analytics

3.IPython: For Command Shell

4. Numeric Python: This is a Fundamental Numeric Package

5. Natural Language Toolkit: It is a Mathematical and Text Analysis Library

Its Usage in Machine Learning and Artificial Intelligence

As machine learning (ML) and artificial intelligence (AI) technologies gain popularity, more developers are attempting to incorporate them into various projects. This is feasible if the appropriate language is used.

Python is the top language for ML and AI projects, according to Jean Francois Puget, a representative of IBM’s machine learning department, and many developers agree. Python has efficient ML packages, tools for visualising results, and goes far beyond data analysis and other features that are useful in this field.

Web Development libraries in Python

Keep the following Python libraries in mind for web development:

Scrapy:

Scrapy is an excellent web crawler for extracting data for your application. It’s a popular library for scraping, data mining, automated testing, and other tasks.

Zappa:

Zappa is a robust library for building serverless applications on AWS Lambda.

Requests:

Requests is a library that allows you to easily send HTTP requests, which are used to communicate with an application, such as getting HTML pages or data.

Dash:

Dash is another useful library for those creating web applications that deal with data visualization. It is built on top of Flask and includes features such as charts, graphs, dashboards, and more.

A Blueprint for Python Web Development

1)HTML and CSS:

When you first begin learning web development, it is critical that you first learn HTML and CSS, which are the foundations of learning how to build websites. To begin your web development journey, it is best if you learn how to structure responsive static pages. It may also be beneficial to learn about the internet, HTTP, browsers, DNS, hosting, and other topics.

You can also learn a CSS framework, such as Materialize or Bootstrap, which will greatly accelerate your development, but it is not required.

2)Javascript:

Learning vanilla Javascript is an excellent next step. Basic concepts such as data types, variables, general conventions, string manipulation, arithmetic and operators, control statements, loops, and so on should be learned. Learning the fundamentals of Javascript will make it easier for you to apply Javascript to client-side code.

3)Learning DOM and jQuery:

After you’ve mastered the fundamentals of javascript, you should learn how to manipulate the DOM and jQuery, a javascript library that makes DOM manipulation easier. You now understand how to create dynamic pages.

4)Framework for Frontend Development (This is optional)
While learning a frontend framework like React is not required to build a functional full-stack web application, it is highly recommended. It not only aids in the creation of beautiful SPAs but it is frequently required for employment as a front-end or full-stack developer.

5) Python 
Now for the backend. Before learning DOM manipulation, you should go over the fundamentals of Python, just as you did with Javascript. Learning the fundamentals will prepare you for Django, allowing you to jump in with less confusion. However, learning introductory Python should not be too difficult because many of the concepts will be similar to Javascript.

6) Django and Database for Connectivity
You’ll be able to set up your backend environment and develop business logic with Django. You’ll also need to learn about databases like SQLite, how to write queries, and how to use the CRUD function. You can use this to create a full-stack application.

Getting Started with Python Programming

If you want to use Python in your web development, you might be wondering how to get started. Python can be learned in a variety of ways. Many people learn Python on their own, either through an online tutorial or through trial and error. Others, on the other hand, prefer a more formal and structured approach to Python learning, such as taking a course at a college or university. This is especially common among students studying computer science, information systems, or a related field.

If you are in college or university and require Python assignment assistance, you can pay experts for coding homework assistance. Experts can provide you with the assistance you require and can complete programming homework for you, allowing you to focus less on the day-to-day busywork of homework and more on the studying and learning required to master Python.

Irrespective of how you choose to learn Python, you can always find the assistance you require to ensure the success of your web development project.

In this article, we will learn how to develop a Body Mass Index (BMI) Calculator using the Python programming language. But before we begin developing one, let us first define Body Mass Index (BMI).

Body Mass Index (BMI):

BMI, or Body Mass Index, is a measure of relative weight based on an individual’s weight and height. The Body Mass Index is commonly used to classify people based on their height and weight. These classifications include underweight, healthy, overweight, and even obesity. Furthermore, it is being used by a number of countries to promote healthy eating.

Body Mass Index (BMI) can be used as a substitute for direct measures of body fat. Furthermore, BMI is a low-cost and simple means of screening for weight classes that may cause health problems.

Let Us Understand the BMI Calculator’s Operation

A BMI Calculator takes an individual’s weight and height and computes their Body Mass Index (BMI).

The data below illustrates how BMI is classified in order to determine a person’s health state.

• If your BMI is less than 18.5, it falls within the underweight range.
• If your BMI is 18.5 to 24.9, it falls within the normal or Healthy Weight range.
• If your BMI is 25.0 to 29.9, it falls within the overweight range.
• If your BMI is 30.0 or higher, it falls within the obese range.

The Formula for Calculating BMI:

BMI  = (weight)/(height)^2

where weight  in – kg

and height in – m

Python Code

Method #1: Using Built-in Functions (Static Input)

Approach:

• Give the height as static input and store it in a variable.
• Give the weight as static input and store it in another variable.
• Calculate the Body Mass Index(BMI) value using the above given mathematical formula and store it in another variable.
• Check if the above obtained BMI value is greater than 0 using the if conditional statement.
• If it is true, then check again if the above obtained BMI value is less than or equal to 16.
• If it is true, then print “Person is severely underweight. Please Takecare”.
• Check if the above obtained BMI value is less than or equal to 18.5 using the elif conditional statement.
• If it is true, then print “Person is Underweight”.
• Check if the obtained BMI value is less than or equal to 25 using the elif conditional statement.
• If it is true, then print “Person is Healthy”.
• Check if the obtained BMI value is less than or equal to 30 using the elif conditional statement.
• If it is true, then print “Person is Overweight”.
• Else print “Person is suffering from Obesity”.
• Else print “Invalid Input”.
• The Exit of the Program.

Below is the implementation:

# Give the height as static input and store it in a variable.
gvn_height = 2.5
# Give the weight as static input and store it in another variable.
gvn_weight = 45
# Calculate the Body Mass Index(BMI) value using the above given mathematical
# formula and store it in another variable.
rslt_BMI = gvn_weight/(gvn_height*gvn_height)
print("The BMI value for the given height{",
      gvn_height, "}", "and weight{", gvn_weight, "}=", rslt_BMI)
# Check if the above obtained BMI value is greater than 0 using the if conditional
# statement.
if(rslt_BMI > 0):
    # If it is true, then check again if the above obtained BMI value is less than
    # or equal to 16. 
    if(rslt_BMI <= 16):
        # If it is true, then print "Person is severely underweight.Please Takecare".
        print("Person is severely underweight. Please Takecare")
    # Check if the above obtained BMI value is less than or equal to 18.5 using
    # the elif conditional statement. 
    elif(rslt_BMI <= 18.5):
        # If it is true, then print "Person is Underweight".
        print("Person is Underweight")
    # Check if the obtained BMI value is less than or equal to 25 using the elif
        # conditional statement.
    elif(rslt_BMI <= 25):
        # If it is true, then print "Person is Healthy".
        print("Person is Healthy")
    # Check if the obtained BMI value is less than or equal to 30 using the elif
        # conditional statement. 
    elif(rslt_BMI <= 30):
        # If it is true, then print "Person is Overweight".
        print("Person is Overweight")
    else:
        # Else print "Person is suffering from Obesity".
        print("Person is suffering from Obesity")
# Else print "Invalid Input".
else:
    print("Invalid Input")

Output:

The BMI value for the given height{ 2.5 } and weight{ 45 }= 7.2
Person is severely underweight. Please Takecare

Method #2: Using Built-in Functions (User Input)

Approach:

• Give the height as user input using the float(input()) function and store it in a variable.
• Give the weight as user input using the float(input()) function and store it in another variable.
• Calculate the Body Mass Index(BMI) value using the above given mathematical formula and store it in another variable.
• Check if the above obtained BMI value is greater than 0 using the if conditional statement.
• If it is true, then check again if the above obtained BMI value is less than or equal to 16.
• If it is true, then print “Person is severely underweight. Please Takecare”.
• Check if the above obtained BMI value is less than or equal to 18.5 using the elif conditional statement.
• If it is true, then print “Person is Underweight”.
• Check if the obtained BMI value is less than or equal to 25 using the elif conditional statement.
• If it is true, then print “Person is Healthy”.
• Check if the obtained BMI value is less than or equal to 30 using the elif conditional statement.
• If it is true, then print “Person is Overweight”.
• Else print “Person is suffering from Obesity”.
• Else print “Invalid Input”.
• The Exit of the Program.

Below is the implementation:

# Give the height as user input using the float(input()) function and store it in a variable.
gvn_height = float(input("Enter height(m) = "))
# Give the weight as user input using the float(input()) function and store it in another variable.
gvn_weight = float(input("Enter Weight(Kg) = "))
# Calculate the Body Mass Index(BMI) value using the above given mathematical
# formula and store it in another variable.
rslt_BMI = gvn_weight/(gvn_height*gvn_height)
print("The BMI value for the given height{",
      gvn_height, "}", "and weight{", gvn_weight, "}=", rslt_BMI)
# Check if the above obtained BMI value is greater than 0 using the if conditional
# statement.
if(rslt_BMI > 0):
    # If it is true, then check again if the above obtained BMI value is less than
    # or equal to 16. 
    if(rslt_BMI <= 16):
        # If it is true, then print "Person is severely underweight.Please Takecare".
        print("Person is severely underweight. Please Takecare")
    # Check if the above obtained BMI value is less than or equal to 18.5 using
    # the elif conditional statement. 
    elif(rslt_BMI <= 18.5):
        # If it is true, then print "Person is Underweight".
        print("Person is Underweight")
    # Check if the obtained BMI value is less than or equal to 25 using the elif
        # conditional statement.
    elif(rslt_BMI <= 25):
        # If it is true, then print "Person is Healthy".
        print("Person is Healthy")
    # Check if the obtained BMI value is less than or equal to 30 using the elif
        # conditional statement. 
    elif(rslt_BMI <= 30):
        # If it is true, then print "Person is Overweight".
        print("Person is Overweight")
    else:
        # Else print "Person is suffering from Obesity".
        print("Person is suffering from Obesity")
# Else print "Invalid Input".
else:
    print("Invalid Input")

Output:

Enter height(m) = 1.5
Enter Weight(Kg) = 59
The BMI value for the given height{ 1.5 } and weight{ 59.0 }= 26.22222222222222
Person is Overweight

The two machine learning strategies are supervised and unsupervised learning. However, each technique is utilized in a different circumstance and with a distinct dataset. Below is a description of two learning methods, as well as a comparison table.

Supervised Learning:

Supervised learning is a machine learning method that trains models using labelled data. In supervised learning, models must determine the mapping function that will connect the input variable (X) to the output variable (Y).

Y = f(X)

Supervised learning requires supervision to train the model, similar to how a student learns in the presence of a teacher. Supervised learning can be applied to two sorts of problems: classification and regression.

For Example:

Assume we have an image of various sorts of fruits. Our supervised learning model’s objective is to identify the fruits and classify them appropriately. So, in supervised learning, we will provide input data as well as output data, which means we will train the model based on the form, size, colour, and flavour of each fruit. When the training is finished, we will put the model to the test by feeding it a new batch of fruits. Using a suitable algorithm, the model will recognise the fruit and forecast the outcome.

Unsupervised learning

Unsupervised learning occurs when only the input data (say, X) is present and no corresponding output variable is present.

Why is Unsupervised Learning Beneficial?
Unsupervised learning’s major goal is to model the distribution in the data in order to learn more about the data.

It is so named because there is no correct response and no such teacher (unlike supervised learning). Algorithms are left to their own devices to identify and convey fascinating data structures.

Unsupervised learning can be applied to two sorts of problems: clustering and association.

Let us see an Example

The preceding example will be used to explain unsupervised learning. So, unlike supervised learning, we will not give any supervision to the model in this case. We will simply feed the model the input dataset and let the model detect patterns in the data. The model will train itself using an appropriate algorithm and separate the fruits into distinct groups based on the most common attributes between them.

The following are the primary differences between supervised and unsupervised learning:

Programming languages have been around for a long time, and each decade sees the introduction of a new language that completely captivates engineers. Python is a popular and in-demand programming language. According to a recent Stack Overflow survey, Python has surpassed languages such as Java, C, and C++ to claim the top spot. As a result, Python certification is one of the most in-demand programming credentials. I’ll go over the top ten reasons to learn Python in this blog.

The following are the top 15 explanations for this trend.

1)Python Is Among the Easiest Coding Languages

If a learner wants to learn how to code, Python is a good place to start. Experts identify three advantages of projects that necessitate this coding:

It is simple to read, write and remember.

To put it another way, this programming language is not overly complex. The reason for this is its resemblance to English syntax. Its creators designed it simple to use. Unlike some other codes, it contains spaces and is written line by line. As a result, everyone can understand what it says.

Python is used at many educational institutions as part of their STEM curricula. According to the volunteers’ experience, teaching children to use this computer language is simple. As a result, young students who do not attend colleges or universities become Python professionals. They develop into promising pupils capable of learning different codes and becoming effective IT specialists or programmers.

2) The Popularity of Python and its High paid Salaries

Python developers earn some of the best pay in the industry. In the United States, the typical Python Developer pay is around $116,028 per year.

Python has also seen a significant increase in popularity in recent years.

3) Python in Data Science

Python is the language of choice for many data scientists. For years, university scholars and private researchers used the MATLAB language for scientific study, but that began to change with the emergence of Python numerical engines such as ‘Numpy’ and ‘Pandas.’

Python also works with tabular, matrix, and statistical data, and it visualizes it using popular libraries such as ‘Matplotlib’ and ‘Seaborn.’

4) Machine Learning and Artificial Intelligence

Machine Learning has grown in popularity in recent years. Algorithms are growing increasingly complex. The Python programming language simplifies machine learning. Python contains more material than Java’s machine learning libraries, and it is a popular programming language.

AI is the next big thing in the world of technology. It is possible to create a machine that can think, evaluate, and make decisions in the same way that humans do.
Furthermore, libraries like Keras and TensorFlow add machine learning capabilities to the mix.

These libraries are provided by python. It enables learning without being explicitly programmed. We also have libraries like OpenCV that aid with computer vision or image recognition.

5) Open-Source and Free

Python is distributed under the OSI-approved open-source license. As a result, it is free to use and distribute. You can download the source code, modify it, and even distribute your own Python version. This is beneficial for organizations that want to change a specific behavior and use their version for development.

6) Libraries and Frameworks

Python provides a number of frameworks for building websites. Popular frameworks include Django, Flask, Pylons, and others. Because these frameworks are developed in Python, this is the primary reason why the code is much faster and more stable.

You can also do web scraping to obtain information from other websites. You’ll also be impressed because several websites, including Instagram, Bitbucket, and Pinterest, are built entirely on these frameworks.

7) The ideal tool for transforming data into useful information.

Data is obtained when a person collects dates and descriptions of events. Information can be obtained by systematizing the received data. Python goes hand in hand with a cutting-edge discipline like Data Science. Python is used by professionals to transform data into information that may be used to solve critical problems.

For example, specialists were able to minimize fuel costs, reduce air pollution, and shorten the idle time of Southwest Airlines planes. There were three issues, but an expert was able to handle them all with one application while saving money. Employees that know all the secrets of Python coding are in high demand. That is the truth.

8)Python has Portability

Many programming languages, such as C/C++, require you to change your code in order to run the program on different platforms. Python, on the other hand, is not the same. You only need to write it once and then run it anywhere.

You should, however, take care not to include any system-dependent features.

9)Python use in Computer Graphics

Python is widely utilized in projects of all sizes, whether little or large, online or offline. It is used to create graphical user interfaces (GUIs) and desktop applications. It makes use of the ‘Tkinter’ library to give a quick and straightforward approach to constructing apps.

It is also used in game development, where you may build the logic of a game using the ‘pygame’ module, which runs on Android devices.

10) Prospects for Career and Growth

Developers all around the world are realizing the benefits of including Python on their resumes. Learning Python can help you advance in your job. It has the potential to lead to rich global employment opportunities. Recruiters and hiring managers regard Python certification as a quantitative item.

11) Python is used in smart technology.

Artificial intelligence is used in smartphones, smart homes, smart cars, and other forms of technology. Artificial intelligence, in turn, necessitates Python coding in order to function properly. Because the language is rich in frameworks and libraries, it simplifies device construction and configuration.

12) Python in Testing.

Python is excellent for verifying ideas or products for well-established businesses. Python includes a plethora of built-in testing frameworks that cover debugging and the quickest workflows. Selenium and Splinter are two tools and modules that can help make things easier.
It supports cross-platform and cross-browser testing using frameworks such as PyTest and Robot Framework. Testing is a time-consuming activity, and Python makes it easier, thus every tester should make use of it.

13) Error Correction Is Now Easier by Python

To complete the needed duties, software must have no errors. When a person writes in Python, he or she does so line by line. It ensures dynamic typic. If an error happens, the system will notify the creator. Because of this, some people are unable to continue writing. As a result, it forces one to fix everything at once. Furthermore, even if a student or programmer makes multiple errors, the system only reports on one. As a result, one can debug the code faster and focus on a single issue at a time, avoiding a total mess.

14)Python is utilized in Big Data applications.

Python addresses a wide range of data-related issues. It allows parallel processing and can be used in combination with Hadoop. Python has a module called “Pydoop,” and you may use it to construct a MapReduce application that processes data from the HDFS cluster.

Other libraries for big data processing include ‘Dask’ and ‘Pyspark.’ As a result, Python is commonly utilized for Big Data processing because it is simple to use.

15)Python in Automation or Robotics

Using Python automation frameworks such as PYunit provides numerous benefits:
There are no additional modules to install. They come in a box.
Even if you have no prior experience with Python, you will find working with Unittest to be very easy. It is derived, and its operation is similar to that of other xUnit frameworks.

You can conduct isolated experiments in a more straightforward manner. You should simply type the names into the terminal. The output is also compact, making the structure adaptable when it comes to running test cases. The test reports are produced in milliseconds.