Python Tutorials

Python Basics Explained — Complete Beginner's Guide (2026)

Python basics tutorial covering variables, data types, operators, strings, and user input. Step-by-step guide with examples and practice exercises for beginners.

Python Control Flow Explained — Conditionals and Loops Step-by-Step

Master Python control flow - if/elif/else conditionals, for and while loops, break/continue, match statements. Includes flowcharts, examples, and practice exercises.

Python Functions Explained — Complete Step-by-Step Guide with Examples

Learn Python functions - def, parameters, return values, *args and **kwargs, lambda, scope, type hints, and docstrings. Includes diagrams, common mistakes, and mini project.

Python Lists & Dicts Explained — Complete Guide with Examples

Master Python collections - lists, tuples, dicts, sets, list comprehensions, slicing, zip, and enumerate. Includes diagrams, common mistakes, FAQ, and a grade tracker mini project.

Python Modules & Packages Explained — Complete Guide with Examples

Learn Python modules and packages - import statements, creating your own modules, pip, virtual environments, and standard library highlights. Includes diagrams, common mistakes, and mini project.

Python File I/O & Error Handling Explained — Complete Guide with Examples

Learn Python file input/output and exception handling - read/write files, try/except blocks, context managers, JSON and CSV formats. Includes diagrams, common mistakes, and a journal app mini project.

Django Web Framework Guide

Learn Django: models, views, templates, URLs, admin interface, authentication, REST APIs with DRF, and building production web applications with Python.

Python OOP — Deep Dive with Examples

Master Python OOP — classes, inheritance, polymorphism, encapsulation, @property, magic methods, dataclasses. Build a BankAccount class with full code examples.

Python Decorators — Explained with Examples

Learn Python decorators — functions as first-class objects, @syntax, functools.wraps, decorators with args, class decorators, built-in decorators. Includes timing decorator example.

Python Generators & Iterators — Explained with Examples

Learn Python generators and iterators — yield, generator expressions, itertools, send()/throw()/close(), memory efficiency. Includes large file reading example.

Python Error Handling — Exceptions, Logging & Best Practices

Master Python error handling — try/except/else/finally, custom exceptions, exception chaining, context managers, assert, logging best practices. Includes file I/O example.

Python Testing — Complete Guide with pytest

Learn Python testing with unittest and pytest — fixtures, parametrize, mocking (unittest.mock), coverage. TDD workflow example. Test a calculator app step by step.

Python Async Programming — asyncio, async/await Explained

Learn Python async programming with asyncio — async/await, event loop, tasks, futures, aiohttp. When async helps vs hurts. Build an async web scraper example.

Flask Web Framework Guide

Learn Flask: routes, templates, Jinja2, SQLAlchemy, forms, blueprints, REST APIs, and building lightweight Python web applications.

Python Type Hints — Complete Guide with mypy

Learn Python type hints — basic types, Optional, Union, List/Dict generics, TypedDict, Protocols, mypy static analysis, type narrowing. Build a type-hinted data processor.

Python Context Managers — with Statement Explained

Learn Python context managers — with statement, __enter__/__exit__, contextlib.contextmanager, ExitStack. Real-world examples: file handles, database connections, locks.

How to Fix ModuleNotFoundError in Python

Fix Python ModuleNotFoundError — missing pip install, wrong virtualenv, circular imports, PYTHONPATH issues. Step-by-step solutions with examples.

How to Fix TypeError in Python

Fix Python TypeError — unsupported operand type, object is not callable, cannot unpack non-iterable. Common variants explained with code examples and solutions.

How to Fix AttributeError in Python

Fix Python AttributeError — 'object has no attribute'. Common causes: typo in method name, NoneType has no attribute, missing __init__, naming conflicts.

How to Fix ImportError in Python

Fix Python ImportError — 'cannot import name'. Circular imports, wrong import path, outdated package, renamed module. Step-by-step solutions with examples.

How to Fix KeyError in Python

Fix Python KeyError — missing dictionary key. Solutions: .get() with default, defaultdict, setdefault, try/except, .keys() check. Step-by-step examples.

FastAPI Framework Guide

Learn FastAPI: path operations, request validation with Pydantic, dependency injection, async support, WebSocket, and building high-performance APIs with Python.

Python Walrus Operator — Complete Guide

Learn how the walrus operator (:=) enables assignment expressions within larger expressions, reducing code duplication and improving readability in Python 3.8+.

Python Structural Pattern Matching — Complete Guide

Learn structural pattern matching in Python 3.10 for matching data structures against patterns with concise, readable syntax inspired by functional languages.

Python Type Hints Advanced — Complete Guide

Learn advanced Python type hinting including generics, TypeVar, Callable, Protocol, and overloaded signatures for robust static type checking in production.

Python Generator Expression — Complete Guide

Learn Python generator expressions for memory-efficient iteration, yielding values lazily instead of building entire lists in memory before processing them.

Python Coroutine Async — Complete Guide

Learn Python coroutines and async/await syntax for writing concurrent I/O code that handles thousands of connections without blocking the event loop at all.

Python Context Manager Protocol — Complete Guide

Learn the Python context manager protocol and how to implement __enter__ and __exit__ methods for automatic resource management using the with statement.

Python Descriptor Protocol — Complete Guide

Learn Python descriptors and how __get__, __set__, and __delete__ control attribute access, forming the foundation of properties and decorated methods.

CherryPy Python Framework Guide — Build Lightweight Web Applications

Learn CherryPy - object-oriented HTTP framework with built-in server, tools, plugins, and minimal configuration. Step-by-step guide with examples for building lightweight Python web applications.

Web2py Python Framework Guide — Build Database-Driven Web Applications

Learn Web2py - full-stack Python web framework with web-based IDE, DAL database abstraction, ticketing system, and built-in security. Step-by-step guide with examples.

Python Strings — Complete Guide with Examples

Learn Python string manipulation: concatenation, slicing, formatting, methods, f-strings, and Unicode handling with practical examples.

Python Regular Expressions — Complete Guide

Master Python regex with the re module: patterns, search, match, findall, sub, groups, lookahead, and real-world text processing examples.

Python Collections Module — Counter, defaultdict, deque, namedtuple

Master Python's collections module: Counter for counting, defaultdict for safe dict access, deque for fast queues, namedtuple for lightweight objects, and more.

Python CSV, JSON, and YAML — Complete Guide

Learn Python file format handling: read and write CSV, parse and generate JSON, load and dump YAML. Build real data pipelines with practical examples.

Python Logging — Complete Guide with Examples

Master Python's logging module: log levels, handlers, formatters, configuration, best practices for production applications, and structured logging.

Python Dates and Times — datetime Module Complete Guide

Learn Python's datetime module: date, time, datetime, timedelta, timezone handling, strftime formatting, and date arithmetic with practical examples.

Python Itertools — Complete Guide to Iterator Tools

Master Python's itertools module: count, cycle, chain, groupby, permutations, combinations, product, and lazy evaluation patterns for efficient data processing.

Python Functools — Higher-Order Functions and Decorators

Master Python's functools module: lru_cache, partial, reduce, wraps, singledispatch, cmp_to_key. Write efficient, reusable function-based code.

Python Database Interaction — SQLite and SQLAlchemy Guide

Learn Python database programming: SQLite for embedded databases, SQLAlchemy ORM for production systems. Query building, migrations, and connection management.

Python Networking — Sockets, Requests, and HTTP

Learn Python networking: socket programming, HTTP requests with requests library, building TCP/UDP clients and servers, and URL handling with urllib.

Python CLI Applications — argparse, click, and Typer

Build professional command-line tools in Python: argparse for stdlib, click for decorator-based CLIs, Typer for modern type-hinted interfaces. Real-world patterns.

Python Packaging — setuptools, pip, and pyproject.toml

Learn Python packaging: create distributable packages with pyproject.toml and setuptools, manage dependencies with pip, publish to PyPI, and use virtual environments.

Python Security — Secure Coding, Input Validation, and Cryptography

Learn Python security best practices: input validation, SQL injection prevention, secure password hashing, encryption with cryptography library, and common vulnerability patterns.

Python Performance — Profiling, Optimization, C Extensions, and Benchmarking

Master Python performance optimization: profiling with cProfile, optimizing hot paths, using __slots__, C extensions with Cython, multiprocessing vs threading, and benchmarking.

Python Serialization — JSON, Pickle, MessagePack, and Data Exchange Formats

Master Python serialization: JSON for web APIs, pickle for Python objects, MessagePack for compact binary, protocol buffers for cross-language, and best practices.

Python Web Scraping — Beautiful Soup, Scrapy, httpx, and Playwright

Learn Python web scraping: extracting data with Beautiful Soup, building crawlers with Scrapy, modern HTTP with httpx, handling JavaScript with Playwright, and ethical scraping practices.

Python for Scientific Computing — NumPy, SciPy, and Matplotlib

Learn Python for scientific computing: NumPy arrays, vectorized operations, SciPy for optimization and statistics, Matplotlib for visualization, and numerical methods.

Python Environment Management — venv, Poetry, uv, and pip-tools

Master Python environment and dependency management: venv for isolation, Poetry for modern packaging, uv for speed, pip-tools for pinning, and best practices for reproducible builds.