Educational scripts for Feb 2020 Bethesda Data Science Meetup
Clone the repo and run any of the Python files in the root directory.
See cumulative_sum.py
function n_values t_milliseconds values_per_ms
0 slow_cumulative_sum 10 0.010 999
1 slow_cumulative_sum 100 0.094 1067
2 slow_cumulative_sum 1000 4.466 224
3 slow_cumulative_sum 10000 389.667 26
4 slow_cumulative_sum_expanded 10 0.010 953
5 slow_cumulative_sum_expanded 100 0.286 350
6 slow_cumulative_sum_expanded 1000 26.299 38
7 slow_cumulative_sum_expanded 10000 2828.294 4
8 fast_cumulative_sum 10 0.003 2996
9 fast_cumulative_sum 100 0.009 11038
10 fast_cumulative_sum 1000 0.074 13574
11 fast_cumulative_sum 10000 0.696 14369
12 fast_cumulative_sum 100000 8.910 11223
13 fast_cumulative_sum 1000000 92.171 10849
14 fast_cumulative_sum 10000000 884.232 11309
15 fast_cumulative_sum 100000000 8532.659 11720
16 pandas_fast_cumulative_sum 10 0.503 20
17 pandas_fast_cumulative_sum 100 0.253 396
18 pandas_fast_cumulative_sum 1000 0.230 4351
19 pandas_fast_cumulative_sum 10000 0.295 33880
20 pandas_fast_cumulative_sum 100000 0.811 123326
21 pandas_fast_cumulative_sum 1000000 8.140 122856
22 pandas_fast_cumulative_sum 10000000 76.779 130244
23 pandas_fast_cumulative_sum 100000000 1294.202 77268
