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Asyncio and async iterators
Module 1
Foundations of Iteration in Python
1
Iterables vs. Iterators in Python
Differentiate between an iterable and an iterator in Python, providing examples of each.
Differentiate between an iterable and an iterator in Python, providing examples of each.
2
Building Custom Iterators with __iter__ and __next__
Implement a custom iterator class using the `__iter__` and `__next__` methods.
Implement a custom iterator class using the `__iter__` and `__next__` methods.
3
Understanding StopIteration in Iterators
Explain the role of the `StopIteration` exception within the iterator protocol.
Explain the role of the `StopIteration` exception within the iterator protocol.
4
Understanding Generator Functions and Yield
Define a generator function using the `yield` keyword and explain how it differs from a regular function.
Define a generator function using the `yield` keyword and explain how it differs from a regular function.
5
Generator Execution: Suspending and Resuming State
Trace the execution of a generator function to describe how its state is suspended and resumed.
Trace the execution of a generator function to describe how its state is suspended and resumed.
6
Infinite Sequences: Generation and Finite Consumption
Write a generator for an infinite sequence and demonstrate consuming a finite portion of it.
Write a generator for an infinite sequence and demonstrate consuming a finite portion of it.
Module 2
Introduction to Asynchronous Programming
7
Concurrency vs. Parallelism: A Real-World Analogy
Differentiate between concurrency and parallelism, providing a real-world analogy for each.
Differentiate between concurrency and parallelism, providing a real-world analogy for each.
8
I/O-Bound vs. CPU-Bound: When to Use Asyncio
Categorize computational tasks as I/O-bound or CPU-bound and identify which type is suitable for `asyncio`.
Categorize computational tasks as I/O-bound or CPU-bound and identify which type is suitable for `asyncio`.
9
Understanding `async def` and Coroutines
Define a coroutine using `async def` and explain its role as a cooperative unit of work.
Define a coroutine using `async def` and explain its role as a cooperative unit of work.
10
Understanding `await` and Asynchronous Control Flow
Explain the function of the `await` keyword in pausing a coroutine and yielding control to the event loop.
Explain the function of the `await` keyword in pausing a coroutine and yielding control to the event loop.
11
Understanding the `asyncio` Event Loop
Describe the role of the `asyncio` event loop in orchestrating coroutine execution.
Describe the role of the `asyncio` event loop in orchestrating coroutine execution.
12
Running Asyncio Programs with `asyncio.run()`
Use `asyncio.run()` to execute a top-level coroutine and serve as the program's entry point.
Use `asyncio.run()` to execute a top-level coroutine and serve as the program's entry point.
Module 3
Managing Concurrent Operations
13
Simulating Non-Blocking I/O with `asyncio.sleep()`
Write a program using `asyncio.sleep()` to simulate a non-blocking I/O operation.
Write a program using `asyncio.sleep()` to simulate a non-blocking I/O operation.
14
Analyzing Sequential Await Bottlenecks
Analyze the performance bottleneck of sequential `await` calls for simulated I/O-bound tasks.
Analyze the performance bottleneck of sequential `await` calls for simulated I/O-bound tasks.
15
Scheduling Coroutines with `asyncio.create_task()`
Use `asyncio.create_task()` to schedule coroutines for concurrent execution on the event loop.
Use `asyncio.create_task()` to schedule coroutines for concurrent execution on the event loop.
16
Running Coroutines Concurrently with `asyncio.gather()`
Use `asyncio.gather()` to run multiple coroutines concurrently and collect their results.
Use `asyncio.gather()` to run multiple coroutines concurrently and collect their results.
17
Concurrent vs. Sequential Data Fetching
Write a program to concurrently fetch data from multiple simulated web endpoints and compare its performance to a sequential approach.
Write a program to concurrently fetch data from multiple simulated web endpoints and compare its performance to a sequential approach.
Module 4
Asynchronous Iterators and Generators
18
Asynchronous Iterators for I/O-Bound Streams
Explain the motivation for asynchronous iterators for I/O-bound data streams.
Explain the motivation for asynchronous iterators for I/O-bound data streams.
19
Understanding Asynchronous Iteration: `__aiter__` and `__anext__`
Define the asynchronous iteration protocol, detailing the roles of `__aiter__` and `__anext__`.
Define the asynchronous iteration protocol, detailing the roles of `__aiter__` and `__anext__`.
20
Building an Async Data Stream Iterator
Implement a custom asynchronous iterator class that simulates fetching data chunks over a network.
Implement a custom asynchronous iterator class that simulates fetching data chunks over a network.
21
Asynchronous Iteration with `async for`
Consume items from an asynchronous iterator using the `async for` statement.
Consume items from an asynchronous iterator using the `async for` statement.
22
Asynchronous Generators with `async def` and `yield`
Define an asynchronous generator using `async def` and `yield`.
Define an asynchronous generator using `async def` and `yield`.
23
Async Generator Refactoring
Refactor a class-based asynchronous iterator into a more concise asynchronous generator function.
Refactor a class-based asynchronous iterator into a more concise asynchronous generator function.
Module 5
Advanced `asyncio` Patterns
24
Asynchronous Context Management with `async with`
Explain the purpose of the `async with` statement for managing asynchronous resources.
Explain the purpose of the `async with` statement for managing asynchronous resources.
25
Async Context Managers for Database Connections
Implement an asynchronous context manager for a simulated resource like a database connection.
Implement an asynchronous context manager for a simulated resource like a database connection.
26
Detecting Race Conditions in Coroutines
Identify a potential race condition when multiple coroutines modify a shared state.
Identify a potential race condition when multiple coroutines modify a shared state.
27
Protecting Critical Sections with `asyncio.Lock`
Use `asyncio.Lock` to protect a critical section and ensure exclusive access to a shared resource.
Use `asyncio.Lock` to protect a critical section and ensure exclusive access to a shared resource.
28
Producer-Consumer with `asyncio.Queue`
Describe the producer-consumer problem and implement a solution using `asyncio.Queue` for safe communication between coroutines.
Describe the producer-consumer problem and implement a solution using `asyncio.Queue` for safe communication between coroutines.