Free Interactive Python Course

Python Tutorial — Learn Python Step by Step

Key takeaway: Master Python programming from scratch — variables, loops, functions, OOP, file handling, and libraries — with clear human-readable explanations and runnable code examples.

50+ Structured Lessons
Runnable Code Examples
100% Free No Registration
Updated October 2026

Python Variables and Literals

Variables store values in named containers. Python is dynamically typed — you don't declare types explicitly. The type is inferred from the assigned value and can change at any time.

Creating Variables

variables.py
# Variables are created on first assignment (no declaration needed)
name = "Alice"          # str
age = 25                # int
height = 5.7            # float
is_student = True       # bool
grades = [90, 85, 92]   # list

# Print values and their types
print(name, type(name))         # Alice <class 'str'>
print(age, type(age))           # 25 <class 'int'>
print(height, type(height))     # 5.7 <class 'float'>
print(is_student, type(is_student))  # True <class 'bool'>

# Multiple assignment
x, y, z = 1, 2, 3
a = b = c = 0  # all point to 0

# Swap values (no temp variable needed!)
x, y = y, x
print(x, y)  # 2 1

Naming Rules and Conventions

RuleValidInvalid
Must start with letter or underscorename, _private1name, @var
Can contain letters, digits, underscoresuser_name, item2user-name, my var
Case-sensitiveName ≠ name—
Cannot be a keywordmy_classclass, for, if

Convention: Use snake_case for variables/functions, PascalCase for classes, UPPER_CASE for constants.

Numeric Literals

numbers.py
# Integers (no size limit in Python!)
decimal = 42
negative = -100
big = 1_000_000       # underscores for readability
binary = 0b1010       # 10
octal = 0o17          # 15
hexadecimal = 0xFF    # 255

# Floats
pi = 3.14159
scientific = 2.5e3    # 2500.0
tiny = 1.2e-4         # 0.00012

# Complex numbers
z = 3 + 4j
print(z.real, z.imag)  # 3.0 4.0

# Boolean (subclass of int)
print(True + True)     # 2
print(False * 10)      # 0

String Literals

strings.py
# Single and double quotes are identical
s1 = 'Hello'
s2 = "Hello"

# Triple quotes for multi-line strings
message = """This is a
multi-line string
that preserves newlines."""

# Raw strings (no escape processing)
path = r"C:\Users\name\folder"  # backslashes are literal

# f-strings for formatting
name = "World"
greeting = f"Hello, {name}!"

# String operations
print(len(greeting))         # 13
print(greeting.upper())      # HELLO, WORLD!
print(greeting[0:5])         # Hello

Constants (Convention Only)

constants.py
# Python has no true constants — it is a CONVENTION to use UPPER_CASE
MAX_SIZE = 100
PI = 3.14159
DATABASE_URL = "postgresql://localhost/mydb"

# Nothing stops reassignment (but tools like mypy can warn)
# MAX_SIZE = 200  # works but violates convention

Key Takeaways

  • Variables are created on assignment — no type declaration needed.
  • Python is dynamically typed: a variable can hold any type and change type.
  • Use snake_case for variables, UPPER_CASE for constants.
  • Python integers have no size limit — they grow as large as memory allows.
  • Use type(x) to check a variable's type at runtime.

Python Programming Tutorial — Learn Python in a practical, step-by-step way. According to the official Python documentation, Python emphasizes code readability and simplicity, making it ideal for beginners.

Related tools: Python Online Compiler | Python Examples | JavaScript Tutorial | Java Tutorial

Python Career & Learning Guide

Python is the world's most popular programming language for beginners, data science, AI/ML, web development, and automation. This tutorial teaches Python step-by-step with clear explanations and runnable code examples in our free Python Compiler.

Why Learn Python in 2026?

  • #1 Most Popular Language: Ranked first on TIOBE, Stack Overflow, and GitHub.
  • AI and Data Science: The primary language for machine learning (TensorFlow, PyTorch, scikit-learn) and data analysis (Pandas, NumPy).
  • Web Development: Django and Flask power scalable backends at companies like Instagram and Spotify.
  • Automation & Scripting: Automate files, emails, web scraping, and data processing in minutes.

Python vs Other Languages

FeaturePythonJavaJavaScriptC++
SyntaxVery clean, readableVerboseModerateComplex
TypingDynamic, strongStatic, strongDynamic, weakStatic, strong
Best ForAI/ML, Data, WebEnterprise, AndroidWeb Frontend/BackendSystems, Games
Learning Time2–4 weeks basics4–6 weeks basics3–4 weeks basics8–12 weeks basics

Frequently Asked Questions

Do I need prior programming experience to learn Python?

No! Python is specifically designed to be beginner-friendly. This tutorial starts from zero and builds up gradually.

Which Python version should I use?

Python 3.10+ is recommended. All examples in this tutorial use Python 3 syntax.

Is this Python tutorial completely free?

Yes, 100% free with no registration or sign-up required. Access all lessons and code examples anytime.