# MultiProcessingBenchmark A benchmarking library to check how does your system fares with all the cores for simple statistical functions, utility functions and aggregation functions.
GitHub Link: https://www.github.com/srivassid/multiProcessingBenchmark
Full Code
from MultiProcessingBenchmark import EntryPoint import multiprocessing
bench = EntryPoint.Benchmark() n_cores = multiprocessing.cpu_count() val = 96.50 rows = 375000 other_df_rows = 375000 first_df_start = ‘01-02-2020’ second_df_start = ‘02-15-2020’ bench.SimpleStatistics(n_cores, rows, first_df_start) bench.utilFunctions(val, n_cores, rows, other_df_rows, second_df_start, second_df_start) bench.agg_without_loop(n_cores, rows, first_df_start) bench.agg_with_loops(n_cores, rows, first_df_start)
Release files for MultiProcessingBenchmark 0.2.0
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Source distribution (sdist)
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| MultiProcessingBenchmark-0.2.0.tar.gz | 6.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| MultiProcessingBenchmark-0.2.0-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 17.8 kB
Release files / MultiProcessingBenchmark-0.2.0.tar.gz
| Download URL | MultiProcessingBenchmark-0.2.0.tar.gz |
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| Size | 6.6 kB |
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Release files / MultiProcessingBenchmark-0.2.0-py2-none-any.whl
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| Tags | Python 2 |
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