Python Recipes¶

The Recipes section provides implementation-focused patterns for common Azure Functions integrations in Python.

Use these documents when you already understand the platform basics and need practical, reusable building blocks.

graph TD
    A[Python Recipes] --> B[HTTP]
    A --> C[Storage]
    A --> D[Security]
    A --> E[Advanced]

Pair recipes with platform guidance

For architecture and plan behavior that applies across all languages, see Platform.

Recipe categories¶

Recipe	Description
HTTP API Patterns	Route design, request/response patterns, and API-friendly function composition.
HTTP Authentication	Function auth levels, app-level auth, and token validation integration patterns.
OpenAPI and Swagger	Documenting HTTP APIs via API Management import or a hand-authored spec plus Swagger UI.

Recipe	Description
Cosmos DB	Input/output patterns for Cosmos DB-backed APIs and event processing workloads.
Blob Storage	Blob trigger and blob binding patterns, including production-oriented processing flow.
Queue Storage	Queue trigger consumer patterns, retries, and output binding usage.
Table Storage	Table (NoSQL key-value) input/output binding patterns for entity storage and lookups.

Recipe	Description
Key Vault	Secret and configuration retrieval patterns using Key Vault integration.
Managed Identity	Passwordless authentication from Functions to Azure services via Entra identities.
Custom Domains & Certificates	TLS and custom hostname setup considerations for HTTP-facing workloads.

Recipe	Description
Timer Trigger	Scheduled jobs, cron semantics, and idempotent batch execution patterns.
Durable Functions	Orchestration, fan-out/fan-in, and stateful workflow coordination.
Durable Entities	Stateful entity (actor-style) model for aggregation and per-key state coordination.
Durable Advanced	Sub-orchestrations, eternal orchestrations, activity retries, and versioning.
Event Grid	Event-driven designs and event routing patterns for reactive systems.
Event Hubs	High-throughput event stream consumption with batch trigger, metadata, and output binding.
Service Bus	Enterprise messaging with queue/topic triggers, dead-lettering, sessions, and output binding.
SignalR Service	Real-time messaging to connected clients via the negotiate endpoint and output binding.
Dependency Injection	Sharing clients across invocations via module-level singletons (no built-in DI container).
Retry Policies	Runtime retry policies (fixed delay, exponential backoff) for Timer, Event Hubs, and Cosmos DB triggers.
Middleware	Cross-cutting behavior via wrapper decorators (no built-in middleware pipeline).
Unit Testing	Host-free unit testing of handlers with pytest and mocked bindings.