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Python Parallel Programming Solutions

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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    Length 3h 57m
    Starts On Demand (Start anytime)
    Cost $29/month (Access to entire library- free trial available)
    From LinkedIn Learning
    Instructor Giancarlo Zaccone
    Download Videos Only via the LinkedIn Learning mobile app
    Language English
    Subjects Programming
    Tags Developer Programming Languages

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    Rating Not enough ratings
    Length 3h 57m
    Starts On Demand (Start anytime)
    Cost $29/month (Access to entire library- free trial available)
    From LinkedIn Learning
    Instructor Giancarlo Zaccone
    Download Videos Only via the LinkedIn Learning mobile app
    Language English
    Subjects Programming
    Tags Developer Programming Languages

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