Async and Modern Python

Day 1 — Modern Python Essentials

Type Hints and Modern Syntax

• Type annotations: basic types, Optional, Union, generics
• The typing module: TypeVar, Protocol, TypeAlias, ParamSpec
• Dataclasses: fields, post_init, frozen, slots
• Protocols and structural subtyping
• Structural pattern matching: match/case statements, guards, patterns

Modern Tooling

• uv: fast package management and virtual environments
• ruff: lightning-fast linting and formatting
• mypy: static type checking in practice
• pytest: modern testing patterns and fixtures
• Virtual environments and dependency management best practices

Day 2 — Async Fundamentals

The asyncio Event Loop

• Understanding the event loop: how asyncio works under the hood
• Coroutines: async def, await, creating and running coroutines
• Tasks: creating tasks, gathering results, cancellation
• Futures: low-level awaitable objects, callbacks

ASGI and Advanced Async Patterns

• ASGI concepts: the protocol, lifespan events, middleware
• Async context managers: async with, resource management
• Async iterators and generators: async for, yield in async code
• Error handling in async code: exception groups, task groups
• Synchronization primitives: locks, semaphores, events, queues

Day 3 — Real-World Async Applications

Async Libraries and Integration

• HTTP clients: aiohttp and httpx for concurrent requests
• Async database access: asyncpg, aiosqlite, SQLAlchemy async
• Message queues and event-driven patterns

Performance and Debugging

• Performance profiling: identifying bottlenecks in async code
• Debugging async applications: common pitfalls and solutions
• When to use async vs threading vs multiprocessing

Practical Exercises

• Building an async web scraper with rate limiting
• Creating an async API client with retry logic
• Integrating async code with synchronous libraries