**Operations on decimals in Python for Data Science:**

**sqrt():**It is a function that computes the square root of a decimal number.**exp():**It is a function that returns the**e^x**exponent of a decimal number.**ln():**It is a function for computation of natural log of a decimal number.**log10():**It is a function that is there for computation of log (base 10) of a decimal number.**as_tuple():**It returns the decimal number as a tuple consisting of three arguments, sign (0 for + and 1for-), digits and exponent value.**fma(a,b):**fma stands for**fused multiply and add.**It is there for computation of**(num*a) + b**from the numbers provided in the argument. There is no rounding of (num*a) in this function.-
**compare():**It is a function for the comparison of decimal numbers. It will return 1 if the first decimal argument is greater than the second one, -1 if the decimal argument is smaller than the second and 0 if both of them are equal. The signs of the arguments are neglected.

**compare_total_mag():**It compares the total magnitude of decimal numbers. It will return 1 if the first decimal argument is greater than the second one, -1 if the decimal argument is smaller than the second and 0 if both of them are equal. So, the signs of the arguments are neglected.**copy_abs():**It is a function that prints the absolute value of a decimal number provided as argument.**copy_negate():**It is a function that prints the negation of a decimal number provided as argument.**copy_sign():**It is a function that will print the first argument provided, but it will take the sign from the second argument.**max():**It is a function for computing the maximum of two decimal numbers.**min():**It is a function for computing the minimum of two decimal numbers.

So, to learn more about operations in python for data science, you can check this and this as well.