Python Tutorial
Python Tutorial
Learn Python by writing and running small programs instead of memorizing syntax. This tutorial starts with the building blocks you need as a beginner and then connects them to the larger Python topics covered throughout CodesCompiler.
The goal is simple: understand what the code is doing, run it, change it, and learn from the result.
Start with a Small Python Program
Here is a complete Python program you can understand in a few seconds:
name = "Python learner"
language = "Python"
print("Hello,", name)
print("You are learning", language)Output
Hello, Python learner
You are learning PythonThere are two useful ideas in this tiny example:
- A variable stores a value.
print()sends a value to the programβs output.
Try changing the value of name and run the program again. Learning Python becomes much easier when you experiment with working code.
Why Learn Python?
Python is useful because the same language can be used for many different kinds of software. You can use it for:
- automation and scripting
- web applications
- data analysis
- testing and developer tools
- APIs and backend services
- desktop utilities
- scientific computing
- machine learning and AI
You do not need to learn all of these areas at once. Start with the language itself, then choose a direction after you are comfortable with the fundamentals.
What You Will Learn
This tutorial series is organized so that each topic builds on the previous one.
1. Python Fundamentals
Start here if you are completely new to Python:
- Python Overview
- Python History
- Python Features
- Python vs C++
- Python Hello World
- Python Interpreter
- Python Environment
- Python Virtual Environment
- Python Basic Syntax
2. Variables and Data
Once you can run a program, learn how Python represents and manipulates information:
- Python Variables
- Python Data Types
- Python Type Casting
- Python Numbers
- Python Booleans
- Python Strings
- Python Lists
- Python Tuples
- Python Sets
- Python Dictionaries
3. Decisions and Loops
Programs become useful when they can make decisions and repeat work:
- Python Control Flow
- Python if Statement
- Python if-else
- Python for Loops
- Python while Loops
- Python break Statement
- Python continue Statement
4. Functions and Reusable Code
Functions help you turn repeated logic into code that can be called whenever you need it.
Continue with:
- Python Functions
- Python Default Arguments
- Python Keyword Arguments
- Python Variables Scope
- Python Modules
- Python Built-in Functions
5. Object-Oriented Python
After learning functions and data structures, you can move into object-oriented programming:
- Python OOP Concepts
- Python Classes and Objects
- Python Class Attributes
- Python Class Methods
- Python Constructors
- Python Inheritance
- Python Polymorphism
- Python Encapsulation
- Python Abstraction
A Better Way to Practice Python
Reading an example is only the first step. Use this four-step loop for each new concept:
- Read the explanation.
- Run the example without changing it.
- Change one part of the program.
- Solve a small problem without looking at the answer.
For example, change the first program so that it asks for the userβs name:
name = input("What is your name? ")
print("Welcome,", name)Now try to extend it:
- ask for a favorite programming language
- print both answers
- calculate a simple value entered by the user
- handle an invalid input
These small changes teach more than repeatedly copying the same example.
Python Variables: Your First Building Block
A variable gives a value a name:
age = 20
course = "Python"
print(age)
print(course)Python determines the type of a value at runtime. You can inspect a value with type():
value = 42
print(type(value))You will learn more about variables and types in the dedicated Python Variables and Python Data Types tutorials.
Python Conditions
A condition lets your program choose between different paths:
score = 72
if score >= 50:
print("Pass")
else:
print("Try again")Notice the indentation. In Python, indentation is part of the syntax, so the statements belonging to the if block must be indented consistently.
Continue with Python if Statement and Python if-else.
Python Loops
Loops are useful when the same operation needs to happen several times:
for number in range(1, 6):
print(number)Output:
1
2
3
4
5Once this makes sense, continue with Python for Loops and Python while Loops.
Python Lists
A list lets you keep several values together:
languages = ["Python", "JavaScript", "SQL"]
for language in languages:
print(language)Lists are one of the most commonly used Python data structures. After learning the basics, explore Python Lists, list access, modification, sorting, and list comprehensions.
Handling Errors
Real programs encounter invalid input, missing files, network failures, and many other problems. Python provides exceptions so your program can respond to expected failures.
A simple example:
try:
number = int(input("Enter a number: "))
print("Double:", number * 2)
except ValueError:
print("Please enter a valid integer.")Learn more in the Python Exceptions tutorial.
Working with Files
Python can read and write files, which is useful for scripts, reports, data processing, and automation.
with open("notes.txt", "w", encoding="utf-8") as file:
file.write("Python makes file handling straightforward.")The with statement automatically handles closing the file after the block finishes.
Continue with Python File Handling and Python Read Files.
Build Projects After the Basics
Once you understand variables, conditions, loops, functions, collections, files, and exceptions, stop learning only from isolated examples.
Build small projects such as:
- a number guessing game
- a command-line calculator
- a to-do list
- a unit converter
- a text-file analyzer
- a simple quiz
- a password generator
- a small automation script
Projects expose gaps in your understanding and give you a reason to use the language features you have learned.
Recommended Learning Order
If you are starting from zero, follow this order:
- Python Overview
- Hello World
- Basic Syntax
- Variables
- Data Types
- Operators
- User Input
- Conditions
- Loops
- Functions
- Strings
- Lists
- Tuples
- Sets
- Dictionaries
- Modules
- File Handling
- Exceptions
- Classes and Objects
- OOP concepts
- Packages and larger projects
You can return to this page as the index for the full Python tutorial series.
Python Practice Checklist
Before moving from beginner topics to projects, make sure you can:
- create and run a Python file
- use variables and common data types
- convert between common types
- read input from a user
- write
if,elif, andelseconditions - use
forandwhileloops - write and call functions
- work with strings and collections
- import a module
- read and write a text file
- handle common exceptions
- create a simple class
- break a larger problem into smaller functions
What Should You Learn Next?
If this is your first Python lesson, start with the Python Overview.
If you already understand the basics, jump directly to Python Variables, Python Data Types, or Python Control Flow.
The important part is not finishing every page as quickly as possible. Write code at each step, change the examples, and build something of your own.