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.
Python Operators
Operators perform operations on variables and values. Python supports arithmetic, comparison, logical, assignment, identity, and membership operators.
Arithmetic Operators
x, y = 10, 3
print(x + y) # 13 (addition)
print(x - y) # 7 (subtraction)
print(x * y) # 30 (multiplication)
print(x / y) # 3.333... (true division)
print(x // y) # 3 (floor division)
print(x % y) # 1 (modulus)
print(x ** y) # 1000 (exponentiation)Comparison and Logical
# Comparison (return bool)
print(5 == 5) # True
print(5 != 3) # True
print(5 > 3) # True
print(5 <= 5) # True
# Logical operators
print(True and False) # False
print(True or False) # True
print(not True) # False
# Chained comparison (Python-specific!)
age = 25
print(18 <= age < 65) # True (young adult)Assignment Operators
x = 10
x += 5 # x = 15
x -= 3 # x = 12
x *= 2 # x = 24
x //= 4 # x = 6
x **= 2 # x = 36Identity and Membership
# is / is not (identity — same object in memory)
a = [1, 2]
b = a
c = [1, 2]
print(a is b) # True (same object)
print(a is c) # False (equal but different objects)
print(a == c) # True (same value)
# in / not in (membership)
fruits = ["apple", "banana", "cherry"]
print("banana" in fruits) # True
print("grape" not in fruits) # True
print("h" in "hello") # True- Use
==for value equality,isfor identity (same object). - Python supports chained comparisons:
1 < x < 10. inworks on strings, lists, tuples, dicts (checks keys), and sets.
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
| Feature | Python | Java | JavaScript | C++ |
|---|---|---|---|---|
| Syntax | Very clean, readable | Verbose | Moderate | Complex |
| Typing | Dynamic, strong | Static, strong | Dynamic, weak | Static, strong |
| Best For | AI/ML, Data, Web | Enterprise, Android | Web Frontend/Backend | Systems, Games |
| Learning Time | 2–4 weeks basics | 4–6 weeks basics | 3–4 weeks basics | 8–12 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.