Interactive Quiz ⋅ 20 QuestionsBy Martin Breuss Share In this quiz, you’ll revisit the core concepts covered in the I/O Operations and String Formatting learning path: The 20    

Interactive Quiz ⋅ 9 QuestionsBy Joseph Peart Share 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 reusable templates. The quiz contains 9 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end […]

Interactive Quiz ⋅ 14 QuestionsBy Martin Breuss Share In this quiz, you’ll revisit the core concepts covered in the Data Collection & Storage learning path:

Interactive Quiz ⋅ 20 QuestionsBy Martin Breuss Share In this quiz, you’ll revisit the core concepts covered in the Testing and Continuous Integration learning path:

Interactive Quiz ⋅ 17 QuestionsBy Martin Breuss Share In this quiz, you’ll revisit the core concepts covered in the Files and File Streams learning path:    

Interactive Quiz ⋅ 20 QuestionsBy Martin Breuss Share In this quiz, you’ll revisit the core concepts covered in the Python Web Scraping learning path: Learning Path

Interactive Quiz ⋅ 16 QuestionsBy Martin Breuss Share In this quiz, you’ll revisit the core concepts covered in the DevOps With Python learning path:

The Model Context Protocol (MCP) is a new open protocol that allows AI models to interact with external systems in a standardized, extensible way. In this video course, you’ll install MCP, explore its client-server architecture, and work with its core concepts: prompts, resources, and tools. You’ll then build and test a Python MCP server that queries e-commerce data and integrate it with an AI agent in Cursor to see real tool calls in action. By the end of this video […]

Interactive Quiz ⋅ 11 QuestionsBy Joseph Peart Share 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 variables in a single two-dimensional scatter plot. The quiz contains 11 questions and there is no time limit. You’ll get 1 point for each correct answer. […]

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 plots that encode several variables at once. By the end of this tutorial, you’ll understand that: A scatter plot is created by calling plt.scatter() with two array-like sequences for the x and y values. Marker […]