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Learn how to integrate the Claude 3.7 model into the Msty application and VSCode as the AI assistant you need for your workspace.

Move beyond basic try-except blocks to build more reliable Python applications. Learn practical and more advanced error handling techniques.

Curious how AI is actually changing the game for real businesses? This article breaks down how companies are using AI to make smarter decisions and run more efficiently.

The audio-based model has grown rapidly in recent years, and businesses increasingly incorporate modern text-to-speech features into their operations.

Data is the lifeblood of data science and the backbone of the AI revolution. Without it, there are no models, and sophisticated algorithms are worthless because there is no data to bring their usefulness to life.

By combining AI agents, you can build an application that not only answers questions and searches the internet but also performs computations and visualizes data effectively.

A simple guide that tells you what you need to know about MicroPython and why you should use it as a Data Scientist ...

Out of many data visualization tools, which five should you use? Three Python libraries, JavaScript, and R library should cover most of your data science needs.

Want to build powerful machine learning models in minutes, not weeks? AutoGluon makes it ridiculously easy -- no PhD required!

Do you want to create custom extensions for VS Code? Follow this guide to build, test, and publish your own extension in no time!