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Mastering Concurrency in Python | 11. Building Communication Channels with asyncio
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Mastering Concurrency in Python is available from:
This is the "Code in Action" video for chapter 11 of Mastering Concurrency in Python by Quan Nguyen, published by Packt. It includes the following topics:
00:11 Simulating a connection channel
00:48 Sending messages back to clients
01:16 Closing the transports
01:54 Fetching a website's HTML code
02:30 Writing files asynchronously
Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.
Connect with Packt:
Video created by Quan Nguyen.
This is the "Code in Action" video for chapter 11 of Mastering Concurrency in Python by Quan Nguyen, published by Packt. It includes the following topics:
00:11 Simulating a connection channel
00:48 Sending messages back to clients
01:16 Closing the transports
01:54 Fetching a website's HTML code
02:30 Writing files asynchronously
Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.
Connect with Packt:
Video created by Quan Nguyen.
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