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Artificial Intelligence LangChain LLMs Machine Learning Prompt Engineering RAG (Retrieval-Augmented Generation) AJAX GraphQL Apache Kafka Microservices Node.js RabbitMQ REST API WebSockets Algorithms Data Structures Angular Bootstrap CSS HTML jQuery Next.js Nuxt.js React Svelte Tailwind CSS Vue.js ASP.NET Core Django .NET Entity Framework Core FastAPI Flask Gin gRPC Hibernate Laravel NestJS Spring Spring Boot Spring Cloud Spring Data JPA Spring MVC Spring Security AWS Azure CI/CD Docker Git Kubernetes Linux Nginx Terraform C C++ C# Dart Go Java JavaScript Kotlin PHP Python Ruby Rust Swift TypeScript Database Design MongoDB MySQL Oracle Database PostgreSQL Redis SQL System Design
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Tutorials / Python
Python
Python Home
Tutorial
Python Introduction Virtual Environments and Tooling Python Syntax and Data Structures Python Functions and OOP Error Handling and Exceptions Files, Modules, and Packaging Advanced Python Testing with pytest Python Interview Questions

Python Tutorial

A clean, readable language for scripting, data, web backends and automation.

Start the Python tutorial →

What you'll learn

1. Python Introduction
What Python is, why it is so popular, and how to install it and run your first script.
2. Virtual Environments and Tooling
venv, pip and requirements.txt, and a look at modern tools like uv and poetry.
3. Python Syntax and Data Structures
Variables, indentation-based blocks, core types, lists, tuples, dicts, sets, comprehensions and slicing.
4. Python Functions and OOP
Defining functions, default and keyword arguments, *args/**kwargs, classes, inheritance and dunder methods.
5. Error Handling and Exceptions
try/except/else/finally, raising and re-raising, custom exception classes, and exception chaining with raise...from.
6. Files, Modules, and Packaging
Reading and writing files with with, pathlib and JSON, and organizing code into modules and packages with __init__.py.
7. Advanced Python
Generators, decorators, context managers, and an honest look at the GIL and when asyncio or multiprocessing help.
8. Testing with pytest
Writing test functions, asserting raised exceptions, fixtures for setup/teardown, and parametrized tests.
9. Python Interview Questions
Real Python interview questions and answers covering fundamentals, data structures, concurrency and decorators.
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