Numeric Types:

Numeric types represent numerical values and are used to perform mathematical operations.

Integer (int):

Integer (int) is a numeric facts kind that represents complete numbers, both fantastic and poor, without any decimal factor. Integers in Python have unlimited precision, that means they are able to constitute arbitrarily big or small whole numbers.

                                  
                                    age = 25                          
                                  
                                

Float (float):

Float (go with the flow) is a numeric information kind that represents actual numbers, along with both rational and irrational numbers, with a decimal point. Floats also can be expressed in scientific notation.

                                  
                                    height = 5.9
                                  
                                

String (str):

String (str) is a sequence of characters enclosed within single (' '), double (" "), or triple (''' 'or """ ') costs. Strings are one of the fundamental statistics types in Python, and they're used to symbolize textual information.

                                  
                                    name = "Alice"
                                  
                                

Strings are sequences of characters and can be enclosed in unmarried (') or double (") costs.

Boolean (bool):

Boolean (bool) is a integrated information type that represents one in every of values: True or False. Booleans are used to express the fact cost of an expression or the end result of a contrast.

                                  
                                    is_true = True
                                  
                                

Boolean values constitute truth or falsehood. They may be both True or False.

List (list):

A listing is a versatile and mutable data kind that lets in you to store a group of objects. Lists are defined via enclosing a comma-separated sequence of elements within square brackets [].

                                  
                                    fruits = ["apple", "banana", "cherry"]
                                  
                                

Lists are ordered, mutable collections which can include elements of various statistics kinds.

Tuple (tuple):

A tuple is a collection information type just like a list, but with the important thing distinction that tuples are immutable. This manner once a tuple is created, you can not alter its elements or size. Tuples are described via enclosing a comma-separated series of elements inside parentheses ().

                                  
                                    coordinates = (10, 20)
                                  
                                

Tuples are ordered, immutable collections. Once created, their elements can't be modified.

Set (set):

A set is a collection facts kind this is unordered, mutable, and does not permit duplicate factors. Sets are defined with the aid of enclosing a comma-separated sequence of elements inside curly braces.

                                  
                                    unique_numbers = {1, 2, 3, 4}
                                  
                                

Sets are unordered, mutable collections that don't permit duplicate factors.

Dictionary (dict):

A dictionary is a collection information type that lets in you to keep key-value pairs. Dictionaries are described by enclosing a comma-separated collection of key-price pairs within curly braces . Each key in a dictionary need to be unique, and it's far associated with a particular value.

                                  
                                    person = {"name": "Bob", "age": 30, "city": "New York"}
                                  
                                

Dictionaries are unordered collections of key-value pairs.

None Type (NoneType):

None is a special consistent representing the absence of a value or a null value. It is frequently used to signify that a variable or object does no longer have a specific cost or that a feature returns not anything.

                                  
                                    result = None
                                  
                                

None is a unique regular in Python that represents the absence of a cost or a null price.

Checking Data Types:

You can use the type() feature to check the data kind of a variable:

                                  
                                    x = 5
print(type(x))  # Output: <class 'int'>
                                  
                                

Understanding and successfully using those information kinds is important for writing Python code. They offer flexibility and can help you work with extraordinary varieties of information in a significant manner.