Chapter 7: Concurrency and Parallelism in Python

Sections

Navigate through the learning materials and practice exercises.

1. 1

   Threading Basics And The Global Interpreter Lock (Gil)

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   This section introduces threading in Python, explaining its role in...

2. 1.1

   What Is Threading?

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   Threading allows concurrent operation in Python, where multiple threads can...

3. 1.2

   What Is The Gil?

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   The Global Interpreter Lock (GIL) is a mutex in Python that permits only one...

4. 1.3

   Key Points

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   This section discusses key concepts of concurrency and parallelism in...

5. 2

   Using The Threading Module For Concurrent Execution

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   This section covers essential techniques for using Python's threading module...

6. 2.1

   Basic Thread Example

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   This section introduces the basic concepts of threading in Python using a...

7. 2.2

   Daemon Threads

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   Daemon threads run in the background and terminate when the main program...

8. 2.3

   Thread Safety Warning

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   This section emphasizes the importance of thread safety in Python's...

9. 3

   Multiprocessing: When And How To Use It

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   This section discusses when and how to utilize multiprocessing in Python for...

10. 3.1

    Using The Multiprocessing Module

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    This section covers the multiprocessing module in Python, detailing its...

11. 3.2

    Pros And Cons

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    This section discusses the advantages and disadvantages of using concurrency...

12. 4

    Concurrent.futures: High-Level Thread And Process Pools

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    The `concurrent.futures` module in Python simplifies the management of...

13. 4.1

    Threadpoolexecutor

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    ThreadPoolExecutor is a high-level API in Python that facilitates concurrent...

14. 4.2

    Processpoolexecutor

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    The ProcessPoolExecutor simplifies concurrent programming in Python by...

15. 4.3

    Benefits

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    This section outlines the advantages of using concurrency and parallelism in...

16. 5

    Thread Synchronization Primitives: Locks, Events, Conditions

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    This section covers synchronization primitives in Python, including Locks,...

17. 5.1

    Lock: Mutual Exclusion

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    This section covers the concept of mutual exclusion in Python programming,...

18. 5.2

    Rlock: Reentrant Lock

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    RLock (Reentrant Lock) allows the same thread to acquire a lock multiple...

19. 5.3

    Event: Thread Communication

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    This section covers how to use events for communication between threads in...

20. 5.4

    Condition: Complex Coordination

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    This section covers the concept of complex coordination in threads using...

21. 5.5

    When To Use What?

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    This section discusses when to use threading and multiprocessing in Python,...

22. 6

    Conclusion

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    The conclusion summarizes Python's concurrency and parallelism capabilities,...