Python
Read and modify working code, organize functions and modules, handle errors, and manage a small reproducible environment.
Repair the foundation gap that blocks the next artifact.
Use the smallest credible source or structured route that addresses an observed blocker. Keep the project at the center of the plan instead of building a course catalog.
Shared engineering foundation
Five capabilities every path uses.
Git
Make changes traceable and preserve an evidence trail through commits, branches, reviews, and clear repository history.
Data and ML literacy
Inspect inputs, outputs, splits, metrics, baselines, leakage, and failure cases before trusting a model result.
APIs and systems
Understand component boundaries, validation, errors, authentication, latency, cost, and operational dependencies.
Security and documentation
Protect secrets and data, state limitations, and document decisions so another person can inspect the work.
Start with primary sources
Free official routes
Python Tutorial
Official language tutorial and core concepts.
Open official source ↗Git documentationOfficial reference and learning materials for traceable change.
Open official source ↗NumPy user guideOfficial array and numerical-computing foundation.
Open official source ↗scikit-learn getting startedOfficial baseline, evaluation, preprocessing, and model workflow guidance.
Open official source ↗PyTorch: Learn the BasicsThe official step-by-step introduction to tensors, data loading, model building, automatic differentiation, optimization, and saving models.
Open official source ↗PyTorch beginner resourcesOfficial tutorials and video paths for readers who want more practice before choosing an exam date.
Open official source ↗