Complete Python Tutorial

Master Python with our comprehensive tutorial.



Getting Started with Python

Download Python from python.org. Install it and verify with python --version. Use interactive shell with python or create .py files. Run scripts with python filename.py.

Python Introduction

Content for python-introduction.

Python History

Content for python-history.

Syntax Basics

Content for syntax-basics.



Variables and Data Types

Primitive types: int, float, str, bool. Collections: list, tuple, dict, set. No explicit type declaration. Type conversion functions: int(), str(), float().

Data Types

Content for data-types.



Operators

Arithmetic: +, -, *, /, %, **. Comparison: ==, !=, <, >, <=, >=. Logical: and, or, not. Membership: in, not in.

Control Flow

Content for control-flow.



Functions

Define with def keyword. Parameters, return values. Default parameters, *args, **kwargs. Docstrings for documentation. Lambda functions.



Lists and Collections

Ordered, mutable sequences. Methods: append(), extend(), remove(), pop(), sort(). List comprehensions for concise iteration. Slicing with [start:end:step].



Tuples and Unpacking

Ordered, immutable sequences. Useful for returning multiple values. Tuple unpacking: a, b = (1, 2). Named tuples for clarity.

Sets

Content for sets.



Dictionaries

Key-value pairs. Access with dict[key]. Methods: get(), keys(), values(), items(). Nested dictionaries. Dictionary comprehensions.



Strings

Single, double, or triple quotes. String methods: upper(), lower(), split(), strip(). String formatting: f-strings, format(), %. Regular expressions.

File Handling

Content for file-handling.

Modules Packages

Content for modules-packages.

Oop Basics

Content for oop-basics.

Classes Objects

Content for classes-objects.



Inheritance

Learn about inheritance in Python.



Decorators

Functions that modify other functions. Use @ syntax for decoration. Create custom decorators. Functools.wraps for preservation.



Generators and Iterators

Generators with yield keyword. Memory efficient for large datasets. Iterator protocol: __iter__(), __next__(). Generator expressions.



Exception Handling

try-except-else-finally blocks. Raise custom exceptions. Exception hierarchy. Context managers with with statement.

Lambda Functions

Content for lambda-functions.

Comprehensions

Content for comprehensions.

Virtual Environments

Content for virtual-environments.

Pip Packages

Content for pip-packages.



Testing

Unit tests with unittest or pytest. Test fixtures and mocking. Test discovery and execution. Code coverage with coverage.py.



Debugging

Learn about debugging in Python.

Best Practices

Content for best-practices.

Last updated: March 2026