MultiProcessingBenchmark 0.1.9

Benchmarking library single core vs multi core for common pandas functions

# 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)