Abstract
Computers have been getting faster and faster over the decades, but we are starting to bump into some of the limitations of physics. This means that in order to get more work done, we need to move to using multiple processes in parallel. There are several techniques available within Python to support concurrent execution of code.
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© 2016 Joey Bernard
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Bernard, J. (2016). Concurrency. In: Python Recipes Handbook. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0241-8_12
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DOI: https://doi.org/10.1007/978-1-4842-0241-8_12
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0242-5
Online ISBN: 978-1-4842-0241-8
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