In this video course quiz, you’ll test your understanding of Connecting LLMs to Your Data With Python MCP Servers. By working through this quiz, you’ll revisit core MCP concepts like the client-server architecture, tools that LLMs can call, resources that expose static data, and prompts that act as ...

In this quiz, you’ll revisit the core concepts covered in the Testing and Continuous Integration learning path: Learning Path Testing and Continuous Integration 10 Resources ⋅ Skills: Unit Testing, Doctest, Mock Object Library, Pytest, Continuous Integration, Docker, Code Quality, GitHub Actions, So...

In this quiz, you’ll revisit the core concepts covered in the I/O Operations and String Formatting learning path: Learning Path I/O Operations and String Formatting 10 Resources ⋅ Skills: Python, Fundamentals, I/O, String Formatting, f-strings, print() The 20 questions span reading keyboard input, c...

In this quiz, you’ll revisit the core concepts covered in the Functions and Scopes learning path: Learning Path Functions and Scopes 12 Resources ⋅ Skills: Python, Functions, Scope, Arguments, Parameters, Return, Globals The 20 questions span defining functions, positional and keyword arguments, def...

In this quiz, you’ll revisit the core concepts covered in the Files and File Streams learning path: Learning Path Files and File Streams 13 Resources ⋅ Skills: Python, Pathlib, File I/O, Serialization, Encoding, Unicode, PDF, WAV, Context Managers, ZIP Files You’ll check your understanding of openin...

In this quiz, you’ll revisit the core concepts covered in the Perfect Your Python Development Setup learning path: Learning Path Perfect Your Python Development Setup 17 Resources ⋅ Skills: VS Code, PyCharm, Virtual Environments, pyenv, Docker, Git, GitHub, IDEs, Code Editors, Claude Code, Cursor, G...

In this quiz, you’ll revisit the core concepts covered in the Data Collection & Storage learning path: Learning Path Data Collection & Storage 9 Resources ⋅ Skills: CSV, JSON, pandas, Excel, SQL, SQLite, SQLAlchemy, AWS S3, Databases You’ll work through questions on reading and writing CSV files, se...

In this quiz, you’ll revisit the core concepts covered in the Object-Oriented Programming (OOP) in Python learning path: Learning Path Object-Oriented Programming (OOP) 18 Resources ⋅ Skills: Python, OOP, Classes, Data Classes, Getters, Setters, Property, super(), Magic Methods, Operator Overloading...

In this quiz, you’ll revisit the core concepts covered in the Write More Pythonic Code learning path: Learning Path Write More Pythonic Code 15 Resources ⋅ Skills: Zen of Python, PEP 8, Application Layouts, Duck Typing, Type Checking, Type Hints, Code Documentation, MkDocs, Code Quality, Pylint The ...

In this quiz, you’ll revisit the core concepts covered in the Python Data Structures learning path: Learning Path Python Data Structures 24 Resources ⋅ Skills: Python, Strings, Lists, Tuples, Dictionaries, Sets, List Comprehensions, range(), Bytes, Sorting The 20 questions span strings, lists, tuple...

In this quiz, you’ll test your understanding of Visualizing Data in Python With Seaborn. By working through this quiz, you’ll revisit how seaborn produces polished statistical plots, including bar plots, scatter plots, line plots, histograms, and KDE curves. You’ll also reinforce the differences bet...

In this quiz, you’ll revisit the core concepts covered in the Exceptions, Logging, and Debugging learning path: Learning Path Exceptions, Logging, and Debugging 8 Resources ⋅ Skills: Python, Exceptions, Logging, Debugging, pdb, raise, Built-in Exceptions, Error Handling You’ll be tested on the basic...

In this quiz, you’ll revisit the core concepts covered in the Modules and Packages learning path: Learning Path Modules and Packages 15 Resources ⋅ Skills: Packages, Modules, Import System, pip, PyPI, uv, __init__.py, Namespace Packages You’ll check your understanding of how Python organizes code in...

Visualizing data is a core part of analysis, and Python’s most popular plotting library is Matplotlib. To make a scatter plot, you reach for plt.scatter() from Matplotlib’s pyplot submodule, conventionally aliased as plt. You’ll use it to build both simple two-variable charts and richly customized p...

In this quiz, you’ll test your understanding of How to Make a Scatter Plot in Python With plt.scatter(). By working through this quiz, you’ll revisit how to use plt.scatter() from Matplotlib’s pyplot submodule, customize markers with the s, c, marker, and alpha parameters, and encode several variabl...

How can you avoid schema problems in your Polars data pipeline when adding new columns? How can you quickly examine a GitHub user's profile to decide how much to invest in their contributions? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and proje...

In this quiz, you’ll test your understanding of Build a Tic-Tac-Toe Game With Python and Tkinter. By working through this quiz, you’ll revisit how to design game logic with Python classes, lay out and update Tkinter widgets, and wire up button clicks to a handler through the event loop. [ Improve Yo...

In this quiz, you’ll test what you learned in the video course Context Managers and Using Python’s with Statement. By working through this quiz, you’ll revisit how the with statement runs setup and teardown for you, how to use standard-library context managers like open(), and how to write your own ...

The fastest way to use the Claude API in Python is to install anthropic, set your API key, and call client.messages.create(). You’ll have a working response in under a minute: Example of Using the Claude API in Python Claude is Anthropic’s large language model, accessible via a clean REST API with a...

In this quiz, you’ll test your knowledge of How to Use the Claude API in Python. By working through this quiz, you’ll revisit how to install the anthropic SDK, send prompts to Claude with client.messages.create(), shape responses with a system parameter, and return structured JSON output using a sch...

The Zen of Python is a collection of 19 aphorisms that capture the guiding principles behind Python’s design. You can display them anytime by running import this in a Python REPL. Tim Peters wrote them in 1999 as a joke, but they became an iconic part of Python culture that was even formalized as PE...

In this quiz, you’ll test your understanding of Absolute vs Relative Imports in Python. By working through this quiz, you’ll revisit how Python’s import system resolves modules, the differences between absolute and relative imports, and the PEP 8 conventions for styling import statements. [ Improve ...

In this quiz, you’ll test your understanding of Tapping Into the Zen of Python. By working through this quiz, you’ll revisit the origins of the poem, the meaning of several aphorisms, and the inside jokes hidden throughout. The questions explore how the principles apply in practice and when it’s oka...

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. In this tutorial...

What are the limitations of using a file-based agent workflow? Why do massive context windows tend to collapse? This week on the show, Mikiko Bazeley from MongoDB joins us to discuss agentic architecture and context engineering. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Pyth...

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...

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 h...

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 wo...

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 ...

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 patt...