Data types in python| Python Videos for Beginners in Urdu #8
Python is a dynamically typed language, which means that the type of a variable is determined at runtime based on the value assigned to it. Here are the basic data types in Python:
1. Integer: Integers are whole numbers with no fractional component. For example, 1, 2, -3, and 0 are all integers in Python.
2. Float: Floats are numbers with a fractional component. For example, 1.5, -2.0, and 0.333 are all floats in Python.
3. Boolean: Boolean values are either true or false. They are used to represent logical values and are commonly used in conditional statements and loops.
4. String: A string is a sequence of characters enclosed in single or double quotes. For example, "hello", 'world', and "123" are all strings in Python.
5. List: A list is a collection of values that can be of any data type. Lists are ordered and mutable, which means that their elements can be added, removed, or modified.
6. Tuple: A tuple is similar to a list, but it is immutable, which means that its elements cannot be modified once it is created.
7. Set: A set is an unordered collection of unique elements. Sets are commonly used to perform mathematical operations like union, intersection, and difference.
8. Dictionary: A dictionary is a collection of key-value pairs. The keys must be unique, and they are used to access the corresponding values. Dictionaries are also mutable, which means that their elements can be added, removed, or modified.
Here is a comprehensive list of all the data types in Python:
1. Numeric Types
Int (integers)
float (floating-point numbers)
Complex (complex numbers)
2. Boolean Type
Bool (Boolean values: True or False)
3. Sequence Types
STR (strings)
list (mutable sequences of objects)
tuple (immutable sequences of objects)
4. Set Types
set (mutable sets of unique objects)
frozenset (immutable sets of unique objects)
5. Mapping Types
dict (mutable mappings of keys to values)
6. None Type
None (represents the absence of a value)
All of these data types are built-in to Python and can be used in various ways in your code.
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