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Scientific Computing with Python

You're reading from   Scientific Computing with Python High-performance scientific computing with NumPy, SciPy, and pandas

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Length 392 pages
Edition 2nd Edition
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Authors (4):
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Olivier Verdier Olivier Verdier
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Olivier Verdier
Jan Erik Solem Jan Erik Solem
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Jan Erik Solem
Claus Führer Claus Führer
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Claus Führer
Claus Fuhrer Claus Fuhrer
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Claus Fuhrer
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Table of Contents (23) Chapters Close

Preface 1. Getting Started 2. Variables and Basic Types FREE CHAPTER 3. Container Types 4. Linear Algebra - Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Series and Dataframes - Working with Pandas 11. Communication by a Graphical User Interface 12. Error and Exception Handling 13. Namespaces, Scopes, and Modules 14. Input and Output 15. Testing 16. Symbolic Computations - SymPy 17. Interacting with the Operating System 18. Python for Parallel Computing 19. Comprehensive Examples 20. About Packt 21. Other Books You May Enjoy 22. References

18.3.4 Blocking and non-blocking communication

The commands send and recv and their buffer counterparts Send and Recv are so-called blocking commands. That means a command send is completed when the corresponding send buffer is freed. When this will happen depends on several factors such as the particular communication architecture of your system and the amount of data that is to be communicated. Finally, the command send is considered to be freed when the corresponding command recv has got all the information. Without such a command recv, it will wait forever. This is called a deadlock situation.

The following script demonstrates a situation with the potential for deadlock. Both processes send simultaneously. If the amount of data to be communicated is too big to be stored the command send is waiting for a corresponding recv to empty the pipe, but recv never is invoked due to the waiting state. That's a deadlock.

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