Python

Python Datatypes

Python supports Dynamic Type Bindings. That means, - we can declare variable with one datatype and change type of value on next line.

Example, -

  myString = 10
  print("Number value from myString variable - " + myString)
  myString = "Ten"
  print("String value from myString variable - " + Ten)

Pros of Dynamic Type Bindings:

• Very easy to work with
• Faster development time.

Cons of Dynamic Type Bindings:

• May result in bugs for unexcepted data types!
• you need to be aware of type()

Available data types:

Data type	Python syntax	Description
Integer	int	Whole number Example, - 10 100 300
Floating Point	float	Number with decimal points Example, - 11.50 100.02
String	str	Ordered sequence of characters. Example, - “Hello” ‘Hi’ “200”. Able to represent in single quote OR in double quote
List	list	Ordered sequence of Objects. Example, - [10, ‘Hello’, 20]
Dictionaries	dict	Unordered key-value paired. Example,- {“key1”:”value1”, “key2”:”value2”}
Tuples	tup	Ordered immutable sequence of objects: {“hey”, 200, “Hello”}. Note: Once tupple is create, we can’t change its sequence at runtime.
Sets	set	Unordered collection of unique objects: {“A”, “F”, “G”}
Booleans	bool	logical value indicating true OR false
NoneType	None	void object.

Few datatype with explaination & examples:

• string
• list
• dictionary
• tuple
• set
• miscellaneous

Notes:

• type() method use to identfy datatype of given object. Example,-

   Input  => 
           my_var = 12
           type(my_var)
   output => 
           int
  

• ordereddict dictionary maintain key order also.
  
  Back

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