Numerical Data Types in Python

Numeric is a first group in data types. In numeric there are 3 data types are there they are:-

1. integer
2. float
3. complex

=>Integer:- Integer is a python data type by using which we can create any real numbers

integer is represented as int ()

• ∞,-3,-2,-1,0,1,2,3,+∞

examples:-

#integer Interning :- Interning is a simple technique by using which python allocates a small memory called cache. this cache is used for checking purpose and in this cache/memory is used to store a range of values.

• interning range value is -5 to 256
• in this range value if data already exists they can reuse the same location ∞ number of times. the id address of the value will be the same
• if the range is out of the interning the id address value will be change

example:

=>Float:- Float is python data type by using which we can create any decimal values.

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float is represented as float()

1.2,6.7,8.9 we can create ∞ decimal values.

upto 16 decimal values the python engine will give the precise value after that the answer will be approximate value

example:-

=>Complex:-complex is also a python data type by using which we can create a combination of real & imaginary data whether it is positive data or negative data

complex is represented as complex()

example:- 14+2j

.Real Data: Real data represents the exact values int & float 14 is the real value

.Imaginary Data: Imaginary data represents the approximate value 2 and j is a mathematical symbol in complex whether it is upper case or lower case.

examples:-