Interactive Quiz ⋅ 10 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Cursor vs Windsurf: Which AI Code Editor Is Best for Python? By working through these questions, you’ll revisit how the two editors differ across code completion, agentic multi-file editing, and debugging. You’ll also reconnect with the audit points worth applying whenever an AI agent writes Python on your behalf. The quiz contains 10 questions and there is no time limit. You’ll get 1 point […]

Interactive Quiz ⋅ 10 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Cursor vs Windsurf: Which AI Code Editor Is Best for Python? By working through these questions, you’ll revisit how the two editors differ across code completion, agentic multi-file editing, and debugging. You’ll also reconnect with the audit points worth applying whenever an AI agent writes Python on your behalf. The quiz contains 10 questions and there is no time limit. You’ll get 1 point […]

OpenCode is an open-source AI coding agent that runs in your terminal and lets you analyze and refactor a Python project through conversational commands. In this guide, you’ll install it on your system, set it up with a free Google Gemini API key, and learn the basics of how to use it in your daily programming work. Here’s what OpenCode’s main interface looks like: OpenCode’s Initial Screen OpenCode works as a conversational assistant you explicitly direct. Ask it to   […]

Interactive Quiz ⋅ 8 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of The LEGB Rule & Understanding Python Scope. By working through this quiz, you’ll revisit how Python resolves names using the LEGB rule, what the local, enclosing, global, and built-in scopes look like in practice, and how the global and nonlocal statements let you reach across scope boundaries. The quiz contains 8 questions and there is no time limit. You’ll get 1 point for each […]

Interactive Quiz ⋅ 9 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Building Type-Safe LLM Agents With Pydantic AI. By working through this quiz, you’ll revisit how Pydantic AI returns structured outputs from LLMs, how validation retries improve reliability, how tools and function calling work, how dependency injection flows through RunContext, and what trade-offs to expect when running agents in production. The quiz contains 9 questions and there is no time limit. You’ll get 1 point […]

Pydantic AI is a Python framework for building LLM agents that return validated, structured outputs using Pydantic models. Instead of parsing raw strings from LLMs, you get type-safe objects with automatic validation. If you’ve used FastAPI or Pydantic before, then you’ll recognize the familiar pattern of defining schemas with type hints and letting the framework handle the type validation for you. By the end of this video course, you’ll understand that: Pydantic AI uses BaseModel classes to define structured outputs […]