Python Libraries

Practical guides for key Python libraries: core API, patterns, and production best practices.

Section Map

Library	Focus
Requests / HTTP	HTTP client: methods, sessions, auth, retries, streaming, best practices
Pytest	Testing: fixtures, parametrize, markers, mocking, coverage, plugins, CI patterns
Playwright	Browser & API testing: locators, POM, assertions, network mocking, CI
HTTPX	Async HTTP client: sync/async, HTTP/2, streaming, concurrency, FastAPI testing
Pydantic	Data validation: models, fields, validators, serialization, settings, TypeAdapter
SQLAlchemy	ORM & SQL toolkit: models, relationships, sessions, async, Alembic, performance
FastAPI	Async web framework: routing, DI, auth, DB integration, testing, production, ASGI stack
uv	Python project manager: deps, scripts, tools, workspaces, Docker, build & publish
LangChain	LLM framework: models, LCEL chains, RAG, agents, tools, memory, LangGraph, LangSmith
Code Quality	Linters, formatters, type checkers, pre-commit hooks, test coverage, mutation testing

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See also

• Digital Garden: Knowledge Base
• Python Guide for Automation QA
• Test Automation Framework
• CI/CD
• Tools — Practical Reference Guides