The best datatype for money is typically a fixed-point decimal type, such as decimal in languages like C# or BigDecimal in Java. These types avoid the rounding issues associated with floating-point representations and provide precise control over decimal places, which is crucial for financial calculations. Using fixed-point types ensures accuracy in representing currency values, especially when dealing with operations like addition, subtraction, and multiplication.
It is used to convert the value of one datatype into a value of another datatype. Example- Integer.parseInt(in.readLine); It converts given value to Integer datatype.
double
enum
void
size_t for input, void * for output
in Unix: the datatype is "Date" in C++: the datatype is "char"
in Unix: the datatype is "Date" in C++: the datatype is "char"
sizeof(datatype)
The best datatype for storing details of your shoe size is typically a numeric datatype, such as an integer or decimal, depending on the level of precision required. For example, if shoe sizes are represented as whole numbers (like 8, 9, 10), an integer would suffice. However, if you need to accommodate half sizes (like 8.5), a decimal or floating-point datatype would be more appropriate. This allows for accurate representation and easy comparison of shoe sizes.
It is used to convert the value of one datatype into a value of another datatype. Example- Integer.parseInt(in.readLine); It converts given value to Integer datatype.
pointer
stack abstract datatype
double
datatype function_name() { }
Any datatype which the user creates in code, that isn't native to the language. A linked list can be an example of this
integer literal
datatype variable name;