Data types in Python- Lecture 3

float data type:

We can use float data type to represent floating point values (decimal values)

Eg:

f=1.234

type(f)

<class ‘float’>

We can also represent floating point values by using exponential form (scientific notation)

Eg:

f=1.2e3

print(f)

1200.0 instead of 'e' we can use 'E'

The main advantage of exponential form is we can represent big values in less memory.

***Note: We can represent int values in decimal, binary, octal and hexadecimal forms. But we can represent float values only by using decimal form.

Eg:

>>> f=0B11.01

File "<stdin>", line 1

f = 0B11.01

^

SyntaxError: invalid syntax

>>> f=0o123.456

SyntaxError: invalid syntax

 >>> f=0X123.456

SyntaxError: invalid syntax

Complex Data Type:

A complex number is of the form a and b contain integers or floating point values

Eg:

3+5j

10+5.5j

0.5+0.1j

In the real part if we use int value then we can specify that either by decimal,octal,binary or hexadecimal form. But imaginary part should be specified only by using decimal form.

 >>> a=0B11+5j

 >>> a

 (3+5j)

 >>> a=3+0B11j

 SyntaxError: invalid syntax

Even we can perform operations on complex type values.

 >>> a=10+1.5j

 >>> b=20+2.5j

 >>> c=a+b

 >>> print(c)

 (30+4j)

 >>> type(c)

 <class 'complex'>

Note: Complex data type has some inbuilt attributes to retrieve the real part and imaginary part

c=10.5+3.6j

c.real--->10.5

c.imag--->3.6

We can use complex type generally in Scientific Applications and Electrical engineering Applications.