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Binary to decimal and vice-versa in python

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Write Python code for converting a decimal number to it’s binary equivalent and vice-versa.

Example: 

From decimal to binary
Input : 8
Output : 1 0 0 0

From binary to decimal
Input : 100
Output : 4

Decimal to binary  

Keep calling conversion function with n/2  till n > 1,
later perform n % 1 to get MSB of converted binary number.  
Example :- 7
1). 7/2 = Quotient = 3(greater than 1), Remainder = 1.
2). 3/2 = Quotient = 1(not greater than 1), Remainder = 1.
3). 1%2 = Remainder = 1.
Therefore, answer is 111.

Python3




# Function calculates the decimal equivalent
# to given binary number
 
 
def binaryToDecimal(binary):
 
    decimal, i = 0, 0
    while(binary != 0):
        dec = binary % 10
        decimal = decimal + dec * pow(2, i)
        binary = binary//10
        i += 1
    print(decimal)
 
 
# Driver code
if __name__ == '__main__':
    binaryToDecimal(100)
    binaryToDecimal(101)
    binaryToDecimal(1001)


Output

1 0 0 0 

1 0 0 1 0 

1 1 1 

Time Complexity: O(log n)
Auxiliary Space: O(1)

Decimal to binary using bin(): 

Python3




# Function to convert Binary number
# to Decimal number
 
def binaryToDecimal(n):
    return int(n,2)
 
 
# Driver code
if __name__ == '__main__':
    print(binaryToDecimal('100'))
    print(binaryToDecimal('101'))
    print(binaryToDecimal('1001'))


Output

1000
10010
111

Time Complexity: O(log n)
Auxiliary Space: O(1)
Binary to decimal 

Example -: 1011
1). Take modulo of given binary number with 10. 
    (1011 % 10 = 1)
2). Multiply rem with 2 raised to the power
    it's position from right end. 
    (1 * 2^0)
    Note that we start counting position with 0. 
3). Add result with previously generated result.
    decimal = decimal + (1 * 2^0)
4). Update binary number by dividing it by 10.
    (1011 / 10 = 101)
5). Keep repeating upper steps till binary > 0.

Final Conversion -: (1 * 2^3) + (0 * 2^2) +
                 (1 * 2^1) + (1 * 2^0) = 11

Python3




n =4
print('{0:b}'.format(n))


Output

4
5
9

Time Complexity: O(log n)
Auxiliary Space: O(1)

Binary to decimal using int(): 

Python3




n = 4
binary = format(n, 'b')
print(binary)  # Output: '100'
binary = '100'
decimal = int(binary, 2)
print(decimal)  # Output: 4


Output

4
5
9

Time Complexity: O(1)
Auxiliary Space: O(1)

Method: Using format specifier

Python3





Output

100

Built-in format function:

Another approach for converting decimal to binary is to use the built-in format function. This approach involves formatting a decimal number as a binary string using the b format specifier. To convert a binary string back to its decimal equivalent, you can use the built-in int function with the base parameter set to 2. For example:

Python3




n = 4
binary = format(n, 'b')
print(binary)  # Output: '100'
binary = '100'
decimal = int(binary, 2)
print(decimal)  # Output: 4


Output

100
4

 Time complexity: O(1), or constant time. The code performs a fixed number of operations regardless of the size of the input. Specifically, the code:

  1. Reads an integer from the user and assigns it to n.
  2. Converts n to a string in binary format and assigns the result to binary.
  3. Converts binary to an integer and assigns the result to decimal.
  4. Prints binary and decimal. 

The time complexity of the code is determined by the time it takes to read an integer from the user, which is a fixed operation. Therefore, the time complexity of the code is O(1).
Auxiliary Space: O(1), or constant space. The code uses a fixed number of variables, regardless of the size of the input. Specifically, the code uses:

  1. The variable n to store a single integer.
  2. The variable binary to store a string representation of n in binary format.
  3. The variable decimal to store the decimal equivalent of binary.

Since the number of variables used is fixed and does not depend on the size of the input, the auxiliary Space of the code is O(1).

It’s worth noting that the specific time and space complexity of the conversion operations in this code may depend on the implementation of the built-in format and int functions. However, in general, these operations take O(1) time and space.



Last Updated : 13 Apr, 2023
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