Python

A complete Python path from syntax and collections to typing, testing, async APIs, packaging, automation, and a data-pipeline capstone.

8 modules

32 lessons

~145 hours

1345 XP available

0 XP

Level —

Curriculum

The interpreter, collections, functions, modules, files, errors, and a persistent command-line project.

Typed object-oriented design, pytest, async HTTP clients, and a FastAPI service project.

Packaging, profiling, concurrency, production automation, and a data-pipeline capstone.

Write high-performance extensions with the C API, Cython, pybind11, and nanobind; manage the GIL, memory, and ABI compatibility.

End-to-end ML lifecycle with MLflow, DVC, Kubeflow, and scikit-learn; reproducible experiments, model registry, and production serving.

Scale Python workloads with Ray and Dask, build resilient task queues with Celery, and process event streams with Kafka.

Modern async with Trio/AnyIO, structured concurrency nurseries, gRPC async services, and async database drivers.

Python in WebAssembly (Pyodide), advanced packaging with Hatch/PDM, supply chain security, and interpreter internals.