19. Execution Statistics

This table contains the latest execution statistics.

Document	Modified	Method	Run Time (s)	Status
about_py	2021-04-13 10:46	cache	3.44	✅
debugging	2021-04-13 10:46	cache	2.25	✅
functions	2021-04-13 10:46	cache	1.96	✅
getting_started	2021-04-13 10:46	cache	2.44	✅
intro	2021-04-13 10:46	cache	0.98	✅
matplotlib	2021-04-13 10:46	cache	4.02	✅
need_for_speed	2021-04-13 10:46	cache	15.61	✅
numba	2021-04-13 10:46	cache	25.49	✅
numpy	2021-04-13 10:46	cache	3.02	✅
oop_intro	2021-04-13 10:46	cache	1.19	✅
pandas	2021-04-13 10:46	cache	16.59	✅
parallelization	2021-04-13 10:46	cache	64.03	✅
python_advanced_features	2021-04-13 10:46	cache	46.8	✅
python_by_example	2021-04-13 10:46	cache	3.95	✅
python_essentials	2021-04-13 10:46	cache	2.01	✅
python_oop	2021-04-13 10:46	cache	4.02	✅
scipy	2021-04-13 10:46	cache	11.35	✅
status	2021-04-13 10:46	cache	0.98	✅
troubleshooting	2021-04-13 10:46	cache	0.98	✅
writing_good_code	2021-04-13 10:46	cache	3.6	✅

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