Every value in Python has a data type. There are different types of data types in Python are Numbers, Sequences (List, Tuple, Strings), Dictionary, Sets etc.
Standard data types:
| Data Type Name | Data Types |
|---|---|
| Number | Int, float, complex |
| Sequence | List, tuple, range |
| Mapping (Dictionary) | dict |
| Set | Set, frozenset |
| Text | str |
| Boolean | bool |
| Binary | bytes, bytearray, memoryview |
In Python, there is a built-in function ‘type’ to get the type of the data.
Numbers are numeric values which are three different types.
Python creates Number objects when assign a value to variable.
a = 10;
print("The type of the data is:",type(a));# output is inta = 10.5
print(“The type of the data is:”type(a)); #output is floata=2j
print(“The type of the data is:”type(a));#output is complex
The data types mostly used in Python are Strings, Lists, Tuples, and Dictionaries.
The string is denoted as a sequence of characters represented in quotation mark (single quotation or double quotation).
Python has the built-in functions and operators to handle the string operations.
Example:
atr1= "Hello";
print(str1); # Output is “Hello”
The operator + is used to concatenate the strings together.
Example:
str1= "Hello"
str2=" World";
Print(str1+str2); # Output is "Hello World"
Three double quotes or three single quotes are used for handling the multiline string.
Example 1:
str1=""" Python language is easy
to learn"""
print(str1) # Output is "Python language is easy to learn"Example 2:
str1='''Python language is easy
to learn''';
Print(str1) # returns "Python language is easy to learn";
The operator * is used to iterate the string for specified times.
Example:
str1="Hello.."
print(str1 * 3); # returns "Hello..Hello..Hello.."Python List data structure is mutable which means it can be changeable by adding or deleting the items.
The List can have the sequence of items in square brackets [].
The List items are in insertion order.
The List items start from index zero (0).
The List can have duplicate items.
The List can contain different data types of items which includes Integers, Strings, and Booleans.
Python List works like a Strings use the len() function and square brackets [] to access the data.
Examples:
colors = ['blue','red','green','yellow']
print(colors[0]) ## blue
print(colors[1]) ## red
print(colors[2]) ## green
print(colors[3]) ## yellowcolors = ['blue','red','green','yellow']
c = colors
Assigning colors to variable c, it doesn’t copy the new list. Instead, the two variables colors, and c points to the same list.
colors = ['blue','red','green','red']
print(colors[0]) ## blue
print(colors[1]) ## red
print(colors[2]) ## green
print(colors[3]) ## redcolors = ['blue','red','green','yellow']
## Print the number of items in colors list
print(len(colors)) ## 4employee = ['Rohan',30,'Male',False]
Python Tuple data structure is immutable which means it is unchangeable which means it can not be changed by adding or deleting the items.
The Tuple can have the sequence of items in parenthesis or round brackets ().
The Tuple items are in defined order that means the items are in same order when the Tuple has created.
The Tuple items start from index zero (0).
The Tuple can have duplicate items.
The Tuple can contain different data types of items.
Examples:
colors = ('blue','red','green','yellow')
print(colors[0]) ## blue
print(colors[1]) ## rednumtuple = ( 1, 2, 3.5, 8)
booleantuple = (True, False, True, True)
stringtupele = ('blue','red','green','yellow')employee = ('Rohan',30,True,'Male')
colors = ('blue','red','green','yellow')
print(len(colors)) ## 4colors = ('blue','red','blue','yellow')
print(colors[0]) ## blue
print(colors[1]) ## red
print(colors[2]) ## blue
print(colors[3]) ## yellowDictionary data structure is a more powerful data type.
Dictionary is used to store the one or more key, value pair data.
Dictionary does not allow the duplicate items with the same key.
Dictionary can be altered by adding, removing the items.
Dictionary can have the items in defined order.
Dictionary represents in curly brackets {}.
Examples:
empdict = {
'name':'John',
'id':'50055',
'email':'abc@gmail.com',
'phone': ['955-55-95555','955-55-95556']
}
print(empdist) ## Output is {'name': 'John', 'id': '50055', 'email': 'abc@gmail.com', 'phone': ['955-55-95555', '955-55-95556']} empdict = {
'name':'John',
'age': 30
}
print(empdict['name']) ## John
print(empdict['age']) ## 30