Chapter 8: Asynchronous Programming with asyncio

Sections

Navigate through the learning materials and practice exercises.

1. 1

   The Async And Await Keywords

   Learn Practice

   This section introduces the async and await keywords in Python, explaining...

2. 1.1

   What Is A Coroutine?

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   Coroutines are special functions in Python that can pause and resume...

3. 1.2

   Key Concepts

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   This section introduces the basics of asynchronous programming with Python's...

4. 2

   Event Loop, Tasks, And Coroutines

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   This section covers the event loop in asynchronous programming, explaining...

5. 2.1

   Event Loop

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   The Event Loop is integral to asynchronous programming in Python, allowing...

6. 2.2

   Creating Multiple Tasks

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   This section explores how to create and manage multiple tasks in Python's...

7. 2.3

   Asyncio.gather()

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   The section discusses the asyncio.gather() function, which allows multiple...

8. 3

   Working With Asyncio For I/o-Bound Tasks

   Learn Practice

   This section covers how asyncio enables efficient handling of I/O-bound...

9. 3.1

   Example: Simulated Network Call

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10. 3.2

    Cpu-Bound Vs. I/o-Bound

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    This section contrasts CPU-bound tasks, which require significant processing...

11. 4

    Writing Asynchronous Network Applications

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    This section explains how to write asynchronous network applications in...

12. 4.1

    Asynchronous Tcp Server

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    This section covers the implementation of asynchronous TCP servers using the...

13. 4.2

    Asynchronous Tcp Client

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    This section introduces the implementation of an asynchronous TCP client...

14. 5

    Advanced Topics (Optional For Beginners)

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    This section covers advanced asynchronous programming concepts in Python...

15. 5.1

    Exception Handling In Async Code

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    This section discusses exception handling within asynchronous code using...

16. 5.2

    Using Asyncio.semaphore For Limiting Concurrency

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    This section discusses how to use asyncio.Semaphore to manage concurrency in...

17. 5.3

    Asynchronous Context Managers (Async With) And Iterators (Async For)

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    This section discusses asynchronous context managers and iterators, which...

18. 6

    Best Practices

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    Best practices in asynchronous programming with asyncio include proper...

19. 7

    Conclusion

    Learn Practice

    Asynchronous programming with asyncio efficiently manages concurrent I/O...

20. 7.1

    In Summary:

    Learn Practice

    Asynchronous programming in Python enables concurrent execution of tasks...