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Tutorial topic

Python

Language fundamentals plus applied tracks for data work, APIs, glue code, classical ML, and AI systems.

Fundamentals

1 track

Syntax through modules — ordered beginner path.

Intermediate Python

1 track

Patterns, typing, pragmatic standard-library depth.

Advanced Python

1 track

Concurrency orientation, perf, packaging realism.

Python for data science

1 track

NumPy, pandas, reproducible notebooks.

Python web development

1 track

HTTP, APIs, framework-backed services.

Python in DevOps

1 track

Scripting infra and glue code.

Python for ML

1 track

Model training workflows and evaluation.

Python for AI

1 track

LLM apps: APIs, retrieval, observability.