19. Execution Statistics

This table contains the latest execution statistics.

Document	Modified	Method	Run Time (s)	Status
about_py	2022-03-08 05:11	cache	2.96	✅
debugging	2022-03-08 05:11	cache	1.82	✅
functions	2022-03-08 05:11	cache	1.96	✅
getting_started	2022-03-08 05:11	cache	2.25	✅
intro	2022-03-08 05:11	cache	1.22	✅
matplotlib	2022-03-08 05:11	cache	3.55	✅
need_for_speed	2022-03-08 05:11	cache	16.54	✅
numba	2022-03-08 05:11	cache	18.58	✅
numpy	2022-03-08 05:11	cache	3.02	✅
oop_intro	2022-03-08 05:11	cache	1.29	✅
pandas	2022-03-08 05:11	cache	18.82	✅
parallelization	2022-03-08 05:11	cache	43.03	✅
python_advanced_features	2022-03-08 05:11	cache	33.01	✅
python_by_example	2022-03-08 05:11	cache	3.87	✅
python_essentials	2022-03-08 05:11	cache	1.87	✅
python_oop	2022-03-08 05:11	cache	2.58	✅
scipy	2022-03-08 05:11	cache	19.54	✅
status	2022-03-08 05:11	cache	1.22	✅
troubleshooting	2022-03-08 05:11	cache	1.22	✅
writing_good_code	2022-03-08 05:11	cache	4.02	✅

These lectures are built on linux instances through github actions so are executed using the following hardware specifications