19. Execution Statistics

This table contains the latest execution statistics.

Document	Modified	Method	Run Time (s)	Status
about_py	2022-05-18 00:37	cache	3.86	✅
about_py_jupyterlite	2022-05-18 00:37	cache	1.35	✅
debugging	2022-05-18 00:37	cache	4.02	✅
functions	2022-05-18 00:37	cache	2.61	✅
getting_started	2022-05-18 00:37	cache	2.96	✅
intro	2022-05-18 00:37	cache	1.35	✅
matplotlib	2022-05-18 00:37	cache	4.73	✅
need_for_speed	2022-05-18 00:37	cache	17.01	✅
numba	2022-05-18 00:37	cache	23.02	✅
numpy	2022-05-18 00:37	cache	2.84	✅
oop_intro	2022-05-18 00:37	cache	1.9	✅
pandas	2022-05-18 00:37	cache	24.02	✅
parallelization	2022-05-18 00:37	cache	53.03	✅
python_advanced_features	2022-05-18 00:37	cache	35.89	✅
python_by_example	2022-05-18 00:37	cache	5.02	✅
python_essentials	2022-05-18 00:37	cache	2.61	✅
python_oop	2022-05-18 00:37	cache	3.45	✅
scipy	2022-05-18 00:37	cache	23.02	✅
status	2022-05-18 00:37	cache	1.35	✅
troubleshooting	2022-05-18 00:37	cache	1.35	✅
writing_good_code	2022-05-18 00:37	cache	3.88	✅

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