May 2018
Intermediate to advanced
380 pages
9h 37m
English
Content preview from Secret Recipes of the Python Ninja
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How to do it...
Rather than a traditional walk-through of how to code, this will be more of a flow-chart to determine which type of parallel processing paradigm to use, if any:
- How large is your dataset? If your dataset is small (based on your experience), then a single-threaded process may not hurt you too much.
- Can your data processing and logic flow be split into simultaneous operations? Frequently, the type of program and the data being worked on simply don't allow for any type of concurrency or parallel programming.
- Is your processing CPU-limited or I/O-limited? CPU-intensive applications are best met with multiprocessing whereas I/O-intensive applications are handled better with multithreading.
- Do you need to have a shared memory ...
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