Python Data Types

Data types specify the type of data that a variable can hold. Python has various built-in data types that allow you to work with different kinds of data effectively.

Common Data Types in Python

1. Numeric Types: Integers, Floating-Point Numbers, and Complex Numbers
2. Sequence Types: Strings, Lists, and Tuples
3. Mapping Type: Dictionaries
4. Set Types: Sets and Frozensets
5. Boolean Type: Booleans
6. Binary Types: Bytes, Byte Arrays, and Memory Views

Numeric Types

1. Integers

Explanation of Code:

Integers are whole numbers, both positive and negative, without a fractional part.

x = 10
y = -5

2. Floating-Point Numbers

Explanation of Code:

Floating-point numbers are real numbers with a decimal point.

a = 3.14
b = -2.5

3. Complex Numbers

Explanation of Code:

Complex numbers are written with a real part and an imaginary part.

c = 2 + 3j
d = complex(1, -1)

Sequence Types

1. Strings

Explanation of Code:

Strings are sequences of characters enclosed in single or double quotes.

text = "Hello, World!"

2. Lists

Explanation of Code:

Lists are ordered, mutable collections of items.

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

3. Tuples

Explanation of Code:

Tuples are ordered, immutable collections of items.

coordinates = (10.0, 20.0)

Mapping Type

1. Dictionaries

Explanation of Code:

Dictionaries are unordered collections of key-value pairs.

student = {"name": "Alice", "age": 21, "course": "Computer Science"}

Set Types

1. Sets

Explanation of Code:

Sets are unordered collections of unique items.

fruits = {"apple", "banana", "cherry"}

2. Frozensets

Explanation of Code:

Frozensets are immutable sets.

frozen_fruits = frozenset({"apple", "banana", "cherry"})

Boolean Type

1. Booleans

Explanation of Code:

Booleans represent True or False values.

is_active = True
is_student = False

Binary Types

1. Bytes

Explanation of Code:

Bytes represent sequences of byte (8-bit) values.

byte_data = b"Hello"

2. Byte Arrays

Explanation of Code:

Byte arrays are mutable sequences of byte values.

byte_array = bytearray(5)

3. Memory Views

Explanation of Code:

Memory views allow you to access the internal data of an object that supports the buffer protocol.

memory_view = memoryview(byte_array)

Python Data Types Example Code

Explanation of Code:

This example demonstrates how to define and print variables of different data types in Python.

# Numeric Types
integer_number = 10
float_number = 3.14
complex_number = 2 + 3j

# Sequence Types
string_text = "Hello, World!"
list_fruits = ["apple", "banana", "cherry"]
tuple_coordinates = (10.0, 20.0)

# Mapping Type
dict_student = {"name": "Alice", "age": 21, "course": "Computer Science"}

# Set Types
set_fruits = {"apple", "banana", "cherry"}
frozenset_fruits = frozenset({"apple", "banana", "cherry"})

# Boolean Type
bool_is_active = True
bool_is_student = False

# Binary Types
bytes_data = b"Hello"
bytearray_data = bytearray(5)
memoryview_data = memoryview(bytearray_data)

# Print Variables
print("Integer:", integer_number)
print("Float:", float_number)
print("Complex:", complex_number)
print("String:", string_text)
print("List:", list_fruits)
print("Tuple:", tuple_coordinates)
print("Dictionary:", dict_student)
print("Set:", set_fruits)
print("Frozenset:", frozenset_fruits)
print("Boolean:", bool_is_active, bool_is_student)
print("Bytes:", bytes_data)
print("Bytearray:", bytearray_data)
print("Memoryview:", memoryview_data)

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