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C++ Data Types
course content

Course Content

C++ Data Types

C++ Data Types

1. Introduction
OverviewArithmetic OperationsDivision int and doubleStandard MathSpecifying a Type
2. Numerical Data Types
Overview of Integer TypesApplications of Integer TypesType Modifiers for VariablesWorking with Floating-Point NumbersDouble-Precision Numbers
3. Text Data Type
Character Data TypeString Data TypeAccessing and Manipulating String ElementsCommon String MethodsString Manipulation PracticeSearching Within Strings
4. Other Data Types and Concepts
Boolean Data TypeBoolean ExpressionsVoid Data TypeAutomatic Type DeductionUnsigned Data TypesImplicit Type ConversionExplicit Type Conversion

book
Double-Precision Numbers

The precision of float (7 decimal digits) is not always enough. But C++ has a solution: double. With a precision of 15 decimal digits, it is much more accurate than float. The syntax of using double is the same as always:

double

double

copy

              
1

            
double num = 3.14159265359;

By default, cout prints floating-point numbers with a precision of 6 significant digits. That way, you won't see a difference between float and double. To set a larger precision, we can use std::cout << std::setprecision(15); again (this will set the precision to 15 significant digits).

Don't forget to include <iomanip> to be able to use std::setprecision().

cpp

main

copy

              
123456789101112131415

            
#include <iostream>
#include <iomanip>

int main()
{
  	float pi_float = 3.14159265358979;
	double pi_double = 3.14159265358979;
	
    std::cout << "float pi: " << pi_float << std::endl;
    std::cout << "double pi: " << pi_double << std::endl;
    
    std::cout << std::setprecision(15);
    std::cout << "float pi with setprecision: " << pi_float << std::endl;
    std::cout << "double pi with setprecision: " << pi_double << std::endl;
}

How is better precision achieved in double?

It just takes up more memory. A float type takes up 4 bytes, and a double takes up 8 bytes of memory.

There also is a long double type. Its size ranges from 8 bytes (just like a double) to 16 bytes. You can check the size of the long double on your system by using the following code:

h

sizeof

copy

              
1

            
std::cout << sizeof(long double);

Additionally, you should add L to a value you are assigning (otherwise, the value will be assigned with the precision of double). Look at the example:

h

double

copy

              
1

            
long double pi = 3.141592653589793238462643L;

Note

If you got zeros in the output, make sure you assigned the values exactly like shown above (1/3., 1/3.L).

Task

Swipe to start coding

You need to calculate (1/3)Β² using different data types. For that, assign the value of 1/3 to the float, double, and long double typed variables. Then print those numbers multiplied by themselves.

  1. Initialize a float variable with the value 1/3.;
  2. Initialize a double variable with the value 1/3.;
  3. Initialize a long double variable with the value 1/3.L.
    note: long double takes up 16 bytes of memory on our system
  4. Set the precision of output to 25 decimals with setprecision(25);
  5. Print all those values multiplied by themselves.

Solution

cpp

solution

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SectionΒ 2. ChapterΒ 5
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book
Double-Precision Numbers

The precision of float (7 decimal digits) is not always enough. But C++ has a solution: double. With a precision of 15 decimal digits, it is much more accurate than float. The syntax of using double is the same as always:

double

double

copy

              
1

            
double num = 3.14159265359;

By default, cout prints floating-point numbers with a precision of 6 significant digits. That way, you won't see a difference between float and double. To set a larger precision, we can use std::cout << std::setprecision(15); again (this will set the precision to 15 significant digits).

Don't forget to include <iomanip> to be able to use std::setprecision().

cpp

main

copy

              
123456789101112131415

            
#include <iostream>
#include <iomanip>

int main()
{
  	float pi_float = 3.14159265358979;
	double pi_double = 3.14159265358979;
	
    std::cout << "float pi: " << pi_float << std::endl;
    std::cout << "double pi: " << pi_double << std::endl;
    
    std::cout << std::setprecision(15);
    std::cout << "float pi with setprecision: " << pi_float << std::endl;
    std::cout << "double pi with setprecision: " << pi_double << std::endl;
}

How is better precision achieved in double?

It just takes up more memory. A float type takes up 4 bytes, and a double takes up 8 bytes of memory.

There also is a long double type. Its size ranges from 8 bytes (just like a double) to 16 bytes. You can check the size of the long double on your system by using the following code:

h

sizeof

copy

              
1

            
std::cout << sizeof(long double);

Additionally, you should add L to a value you are assigning (otherwise, the value will be assigned with the precision of double). Look at the example:

h

double

copy

              
1

            
long double pi = 3.141592653589793238462643L;

Note

If you got zeros in the output, make sure you assigned the values exactly like shown above (1/3., 1/3.L).

Task

Swipe to start coding

You need to calculate (1/3)Β² using different data types. For that, assign the value of 1/3 to the float, double, and long double typed variables. Then print those numbers multiplied by themselves.

  1. Initialize a float variable with the value 1/3.;
  2. Initialize a double variable with the value 1/3.;
  3. Initialize a long double variable with the value 1/3.L.
    note: long double takes up 16 bytes of memory on our system
  4. Set the precision of output to 25 decimals with setprecision(25);
  5. Print all those values multiplied by themselves.

Solution

cpp

solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 2. ChapterΒ 5
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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