The Model Context Protocol just got its first official extension, and it changes what AI assistants can do. MCP Apps lets tools return interactive user interfaces—dashboards, forms, visualizations, ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

Abstract: Self-regulated learning refers to the process in which learners are responsible for their own learning, from passive acquisition of knowledge to learning self-active control and restraint.

But suddenly, it’s all looking like spaghetti. Let me introduce you to your new best friend: Frame. It helps you keep your layout neat and organized—just like folders on your desktop.

Hey there! In this tutorial, I’m going to help you understand how Tkinter event binding works. It’s a cool feature in Tkinter that allows you to connect functions to specific events. Basically, when ...

Abstract: Visualization is a powerful tool for learning and teaching complex concepts, especially in the field of computer science. However, creating effective and engaging visualizations can be ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...