2. Data Types in Python
Operator Operator
Integers
Float
Complex
Boolean
String
None
List
Tuple
Range
Bytes
Bytes Arrays
Set
Frozen Set
Dictionary
Suite
Numbers
Sequence
Sequence
Mapping
3. The classification or categorising of data
elements is known as data types. It denotes
the kind of value that specifies which
operations can be performed on a given set of
data. Data types are essentially classes, and
variables are instances (objects) of these
classes, because everything in Python
programming is an object.
Data Types in Python
4. The standard Python method is used to create Python
numbers variables.
Using the regular Python number type is usually sufficient.
If necessary, Python will automatically convert a number
from one type to another.
But, under certain circumstances that a specific number
type is needed (ie. complex)
Numbers in python:-
Integers
Float
Complex
Number
5. Integers in Python
This value is represented by int class. It contains
positive or negative whole numbers (without
fraction or decimal). In Python there is no limit to
how long an integer value can be.
Integers
Whole number without
decimal point, including.
Integers can be represent
in different forms.
No concept of size for any
data type in python
6. Floats in Python
This value is represented by float class. It is a real
number with floating point representation. It is
specified by a decimal point. Optionally, the
character e or E followed by a positive or negative
integer may be appended to specify scientific
notation.
Floats
Real number with
decimal point
Exponential from
No concept of double
7. Complex numbers in Python
Integers
a+bj where a is real b is
imaginary.
j is the square root of -.
a.real
b.imag
a can be decimal/binary
b can be decimal only
Except modulo operation
rest all operations are
applicable.
Complex number is represented by complex class. It is
specified as (real part) + (imaginary part)j.
8. Data Types in Python
Mutable vs Immutable Data
type in Python
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