Python & Data Tooling
NumPy, pandas and notebooks for exploratory work.
From your first model to something you can deploy. This path is being written up now - here is the outline we are working from.
NumPy, pandas and notebooks for exploratory work.
Regression, trees, evaluation and avoiding leakage.
Tensors, training loops and PyTorch fundamentals.
Prompting, fine-tuning and measuring output quality.
Vector search and grounding answers in your own data.
Serving models, batching and cost control.
Want to help write one of these? The handbook is open source.