Python Data Types
 Definition of data types
 Categories of built-in data types in Python
Built-in Data Types
 Text: str
 Numeric: int, float, complex
 Sequence: list, tuple, range
 Mapping: dict
 Set: set, frozenset
 Boolean: bool
 Binary: bytes, bytearray, memoryview
 None: NoneType
Getting Data Type
 Use type() function
 Example:
 x=5
 print(type(x))
Setting Data Type
 Data type is set when assigning a value to a variable
Python Numbers
 Types: int, float, complex
 Example:
 x=1
 y = 2.8
 z = 1j
Integers (int)
 Whole numbers without decimals
 Examples:
 1, -3255522, 35656222554887711
Python Variables
 Variables store data values
 Created when assigned a value
Creating Variables
 x=5
 y = 'John'
 Variables can change type
Casting Variables
 Specify data type using casting
 str(), int(), float()
Variable Naming Rules
 Start with letter or underscore
 Cannot start with number
 Only alphanumeric and _
 Case-sensitive
 Cannot use keywords
Variable Naming Styles
 Camel Case: myVariableName
 Pascal Case: MyVariableName
 Snake Case: my_variable_name
Assign Multiple Values
 x, y, z = 'Orange', 'Banana', 'Cherry'
 x = y = z = 'Orange'
Unpacking Collections
 fruits = ['apple','banana','cherry']
 x, y, z = fruits
Output Variables
 print(x)
 print(x, y, z)
 print(x + y + z)
Global Variables
 Defined outside functions
 Accessible everywhere
Local vs Global Variables
 Local variables exist inside functions
 Global variables remain unchanged outside