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Async Python Microservices with gRPC
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Module 4
Async Python Deep Dive
1
Blocking vs. Non-Blocking I/O: Performance in Web Applications
Differentiate between blocking and non-blocking I/O and demonstrate the performance impact in a web context.
Concurrency vs. Parallelism in Python
Distinguish between concurrency and parallelism, identifying use cases for each in Python.
3
Asyncio Event Loop: Coroutine Scheduling and Execution
Describe how Python's asyncio event loop schedules and executes coroutines.
4
Asynchronous I/O with `async` and `await`
Write coroutines using `async` and `await` syntax to perform concurrent I/O-bound operations.
Managing Concurrent Coroutines with `asyncio.Task`
Create and manage asyncio Tasks to run and control multiple coroutines concurrently.
6
Concurrent Operations with `asyncio.gather`
Use `asyncio.gather` to coordinate and retrieve results from multiple concurrent operations.
7
I/O-Bound vs. CPU-Bound: Choosing Concurrency Models
Differentiate I/O-bound vs. CPU-bound tasks and select the appropriate concurrency model (asyncio vs. multiprocessing).
8
Asyncio Queues for Producer-Consumer Patterns
Implement cooperative multitasking patterns using asyncio queues for producer-consumer scenarios.
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Microservice Design and Decomposition
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Protocol Buffers and gRPC Foundations