Lynda - Python Parallel Programming Solutions

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Lynda - Python Parallel Programming Solutions

Size: 602 MB | Duration: 4h 0m | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 48KHz 2ch

Genre: eLearning | Level: Intermediate | Language: English

 

Learn parallel programming techniques using Python and explore the many ways you can write code that allows more than one task to occur at a time. First, discover how to develop and implement efficient software architecture that is set up to take advantage of thread-based and process-based parallelism. Next, find out how to use Python modules for asynchronous programming. Then, explore GPU programming using PyCUDA, NumbaPro, and PyOpenCL. This course provides extensive coverage of synchronizing processes, streamlining communication, reducing operations, and optimizing code so you can select and implement the right parallel processing solutions for your applications.

 

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