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Concurrent and Parallel Programming in Python
Concurrent and Parallel Programming in Python
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Nov 2022
Video 6hrs 7mins
Speed up your programs with concurrency and parallelism in Python
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Video Video
Mex$2256.99
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Concurrent and Parallel Programming in Python
Speed up your programs with concurrency and parallelism in Python
Description
In a big data project, a plethora of information is retrieved, big numbers are crunched on our machine, or both. If the coding is sequential or synchronous, our application will struggle to execute. Two mechanisms to alleviate such bottlenecks are concurrency and parallelism. In Python, concurrency is represented by threading, whereas multiprocessing achieves parallelism. This course begins with an introduction about potential programming speed bottlenecks and solving them. You will delve into Python concepts and create a Wikipedia Reader, Yahoo Finance Reader, Queues, and Master Scheduler. You will build a multi-threaded program to grab data from the Internet and parse and save them into a local database. Implement multiprocessing in Python, which lets us use multiple CPUs in our code. Learn about threading, multiprocessing, asynchronous wait, locking, multiprocessing queues, Pool Map Multiple Arguments, writing asynchronous programs, and combining async and multiprocessing. Upon completion, we can spread our workload over all cores available on the used machine. We will combine both elements, multiprocessing with asynchronous programming, to maximize benefit and CPU resource usage and minimize the time spent waiting for IO responses. You will create multi-threaded, asynchronous, multi-process programs to make programs run faster. All resources are available at: https://github.com/PacktPublishing/Concurrent-and-Parallel-Programming-in-Python
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6hrs 7mins
Last Updated : Feb 2026 Published : Nov 2022
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Maximilian Schallwig
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Video Mex$2256.99
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