difference between all data types in python code example

Example 1: python data types

# Here are the available types in Python. Use type() to find out what
# type your object is. 
Text Type:		str
Numeric Types:	int, float, complex
Sequence Types:	list, tuple, range
Mapping Type:	dict
Set Types:		set, frozenset
Boolean Type:	bool
Binary Types:	bytes, bytearray, memoryview
  
# Examples of types:
Strings: "This is a string"
  		 'This is also a string'
    	 """
         Triple quotes allow you to have multi-line strings and are
         useful for automatically escaping "single quotes"
         """
Integers: 	1
  			12345678901234567890 # Python 3 can represent huge numbers
    		# Use 0letter# to specify integers in other bases. Letters 
      		# are: b for binary, o for octal, x or X for hexadecimal
      		0b10 = 2 in binary, 0o10 = 8 in octal, 0x10 = 16 in hexadecimal
# Still working on this answer...
Floats: 	
Complex:	
Lists:
Tuples:
Ranges:
Dictionaries:
Sets:
Booleans:
...

Example 2: what is the type of the data python

>>> type(1234)
<class 'int'> 
>>> type(55.50) 
<class 'float'>  
>>> type(6+4j)   
<class 'complex'> 
>>> type("hello") 
<class 'str'>     
>>> type([1,2,3,4]) 
<class 'list'>      
>>> type((1,2,3,4)) 
<class 'tuple'>     
>>> type({1:"one", 2:"two", 3:"three"}
<class 'dict'>