Float Precision in Python
In Python, similar to Java and JavaScript, floating-point arithmetic adheres to the IEEE 754 standard. Python provides a primary data type for floating-point numbers: ‘float’, which is double precision (64-bit). This means that Python’s ‘float’ type provides the same precision and range as the double precision floating-point numbers used in Java and JavaScript.
class FloatPrecision:
@staticmethod
def main():
# Declare and initialize floating-point numbers
a = 0.111111111111111
b = 0.222222222222222
# Perform addition
sum_result = a + b
# Print the result
print("Sum: {:.20f}".format(sum_result)) # Using format() to specify precision
# Call the main method to execute the code
if __name__ == "__main__":
FloatPrecision.main()
Output
Sum: 0.333333333333333
Float Precision or Single Precision in Programming
Float Precision, also known as Single Precision refers to the way in which floating-point numbers, or floats, are represented and the degree of accuracy they maintain. Floating-point representation is a method used to store real numbers within the limits of finite memory in computers, maintaining a balance between range and precision.