Python’s built-in functions are predefined functions you can use anywhere in your code without any imports. They handle common tasks across math, data type creation, iterable processing, and input and output. Knowing which ones to reach for makes your code shorter and more Pythonic. To get the most out of this tutorial, you’ll need to be familiar with Python programming, including topics like working with built-in data types, functions, classes, decorators, scopes, and the import system. Built-in Functions in Python […]

Interactive Quiz ⋅ 12 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Python’s Array: Working With Numeric Data Efficiently. By working through this quiz, you’ll revisit the differences between Python’s array module and the built-in list, the meaning of type codes, how to create and manipulate arrays as mutable sequences, and the performance trade-offs of using a low-level numeric container. The quiz contains 12 questions and there is no time limit. You’ll get 1 point for […]

Interactive Quiz ⋅ 8 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Python Metaclasses. Metaclasses sit behind every class you write in Python, and they’re one of the language’s deeper object-oriented concepts. By working through this quiz, you’ll revisit how classes are themselves objects, how type creates them, and how a custom metaclass lets you customize class creation. You’ll also reflect on when a custom metaclass is actually the right tool and when a simpler technique […]

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 […]

Interactive Quiz ⋅ 10 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Memory Management in Python. By working through this quiz, you’ll revisit how Python handles memory allocation and freeing, the role of the Global Interpreter Lock, and how CPython organizes memory using arenas, pools, and blocks. Give it a shot! The quiz contains 10 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, […]