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.

These libraries are foundational and frequently used in various projects. Installing them ensures that your environment is ready for a range of development tasks. Installing Libraries for Specific ...

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 ...

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.

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