Python Tutorial
Introduction
Python Data Types & Oper...
Python Strings
Python Lists
Python Tuples
Python Sets
Python Dictionaries
Conditional Statements
Python Loops
Python Functions
Python Modules
Python OOPS
Advanced Topics
File Handling
Python Data Types
Every piece of data in a Python program has a type behind it. That type tells Python how the data should behave when it’s used. Whether it’s a number, text, or a more complex structure, data types help Python process it correctly.
You don’t need to declare data types manually — Python figures it out based on the value you assign.
Numeric Types
Python offers three numeric types:
int– Whole numbersfloat– Numbers with decimal pointscomplex– Numbers with real and imaginary parts
a = 10 # int
b = -3.7 # float
c = 4 + 3j # complex
print(type(a), type(b), type(c))
Text Type
Strings (str) are used for text. They are written inside quotes — single, double, or triple.
language = "Python"
slogan = 'Simple Yet Powerful'
description = """Python is beginner-friendly."""
print(language.upper(), "-", slogan)
Boolean Type
Booleans have only two values: True or False. These often control decision-making.
is_active = True
is_deleted = False
print("Is Active:", is_active)
Sequence Types
These hold multiple values in order. Python provides:
List: A flexible collection that you can update.
groceries = ["Milk", 1.5, True, [1, 2]]
groceries[0] = "Almond Milk"
print(groceries)
Tuple: Just like a list, but you can’t change it after creating it.
days = ("Monday", "Tuesday", "Wednesday")
print("Today is:", days[1])
Range: Creates a sequence of numbers with a start, stop, and step.
for n in range(2, 11, 2):
print(n, end=' ')
Mapped Type
Dictionary (dict): A collection of key-value pairs — perfect when data is labeled.
student = {
"name": "Arshyan",
"age": 19,
"verified": True
}
print(student["name"])
Set Type
Sets are unordered, and they automatically remove duplicate values.
unique_numbers = {5, 2, 9, 2, 1}
print("Unique values:", unique_numbers)
Binary Types
Python also supports data in binary format. Useful when working with files, images, etc.
bytes
msg = "Arshyan Rocks"
binary_msg = bytes(msg, "utf-8")
print(binary_msg)
bytearray :Unlike bytes, this is mutable.
data = bytearray("Code", "utf-8")
data[0] = 67
print(data)
memoryview :Gives direct access to memory — useful for optimization.
bdata = bytes("data", "utf-8")
view = memoryview(bdata)
print([byte for byte in view])
None Type
The None keyword is used when you want to say “nothing” — not zero, not empty, just nothing.
result = None
print("Type of result is", type(result))
Summary
Python detects the data type automatically.
Use lists when you want to store and modify a collection.
Use tuples for fixed collections.
Use sets when you want only unique values.
Use dictionaries when you need key-value pairing.
Use booleans to control logic.
Use None when you want to reset a variable.