Python for Engineers
Python is the language of AI engineering. These guides cover the specific Python skills you need to build production GenAI systems — not generic tutorials, but focused content for engineers.
Guides
Section titled “Guides”Foundations
Section titled “Foundations”- Python for GenAI — Core Python patterns for LLM applications: async I/O, data pipelines, API integration, and the libraries that power modern AI stacks
- Async Python — Master asyncio, aiohttp, and concurrent patterns for high-throughput AI applications that handle thousands of LLM calls efficiently
- Python Data Structures — Core data structures for GenAI pipelines: lists, dicts, sets, and custom classes for document processing
- Python Type Hints for AI — Type annotations, generics, and Protocol classes for type-safe AI codebases
AI Application Patterns
Section titled “AI Application Patterns”- Pydantic for AI Engineers — Data validation, structured LLM outputs, and settings management with Pydantic v2
- FastAPI for AI Applications — Build production AI APIs with FastAPI: streaming responses, async endpoints, and LLM integration
- RAG Pipeline Tutorial — End-to-end RAG implementation in Python: ingestion, embedding, retrieval, and generation
- LLM Database Integration — Connecting LLMs to SQL and NoSQL databases for data-aware AI applications