Concurrent and Parallel Programming in Python - Async Gather Method

The video tutorial explains concurrent execution using asyncio in Python. It highlights the challenges of sequential API calls and introduces the asyncio.gather method to achieve concurrency. An example demonstrates how coroutines can run concurrently, improving execution efficiency. The tutorial also compares async and threading, discussing their differences, use cases, and overhead considerations, particularly in web development.

What is the main issue with awaiting responses in sequential execution?

• It improves the efficiency of task execution.

• It leads to unnecessary delays as tasks wait for each other.

• It allows tasks to execute in parallel.

• It causes tasks to run concurrently.

What does the 'gather' method in asyncio help achieve?

• Sequential execution of tasks.

• Parallel execution using multiple threads.

• Concurrent execution of coroutines.

• Blocking execution of tasks.

In the example provided, what happens when a coroutine hits an 'await' point?

• Control is given back to the event loop.

• The coroutine executes in a new thread.

• The coroutine continues executing without interruption.

• The coroutine stops executing permanently.

What is a key difference between async and threading?

• Async runs on a single core and thread, while threading uses multiple threads.

• Async creates multiple threads, while threading uses a single thread.

• Async uses multiple cores, while threading uses a single core.

• Async is used for blocking operations, while threading is non-blocking.

When is threading generally preferred over async?

• For tasks that require minimal overhead.

• For building worker-like programs with multiple objectives.

• For web development tasks.

• For tasks that need to run on a single core.

Why is async commonly used in web applications?

• To block execution and ensure tasks run sequentially.

• To allow non-blocking execution and handle multiple requests efficiently.

• To simplify the code structure.

• To create multiple threads for each request.

What is a common use case for async in programming?

• Building complex worker programs.

• Handling independent tasks and web development.

• Executing tasks that require high computational power.

• Running tasks that need to be executed in parallel.