Set up your AI project! In Part 3 of DIY AI, learn how to install VS Code, create a virtual environment, and prepare essential libraries for success.

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers ...

Pre-installed libraries: Colab comes with most of the libraries you’ll need, including TensorFlow, PyTorch, Keras, and OpenCV, so you can get started with your projects right away.

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Microsoft is rolling out a new Python Environments extension in VS Code, now reaching 20% of stable channel users. The tool ...