How did you see this then?
Answer:p=float(input("Enter current bank balance:"))
i=float(input("Enter interest rate:"))
t=float(input("Enter the amount of time that passes:"))
print((p ((1+i)*t)))
Explanation:if this answer it looks weird its my phones fault
Answer:
NumPy contains a large number of various mathematical operations.
...
Numpy | Mathematical Function.
Function Description
expm1() Calculate exp(x) – 1 for all elements in the array.
exp2() Calculate 2**p for all p in the input array.
log10() Return the base 10 logarithm of the input array, element-wise.
log2() Base-2 logarithm of x.
Answer:
An integer data type is a location where text cannot be stored
Explanation:
In computer science and computer programming, a data type or simply type is an attribute of data which tells the compiler or interpreter how the programmer intends to use the data.
A data type constrains the values that an expression, such as a variable or a function, might take. This data type defines the operations that can be done on the data, the meaning of the data, and the way values of that type can be stored.
Common examples of data types are
1.Integer: accepts integer numbers
2.Floating-point number: accept decimal numbers
3.Character: accepts character values
4.String. Accepts multiple characters
4.Boolean. Returns true or false logical expression