20. Execution Statistics

This table contains the latest execution statistics.

Document	Modified	Method	Run Time (s)	Status
about_py	2023-01-23 04:47	cache	7.11	✅
debugging	2023-01-23 04:47	cache	2.97	✅
functions	2023-01-23 04:47	cache	3.15	✅
getting_started	2023-01-23 04:47	cache	3.28	✅
intro	2023-01-23 04:47	cache	1.28	✅
jax_intro	2023-01-23 04:48	cache	33.55	✅
matplotlib	2023-01-23 04:48	cache	7.1	✅
need_for_speed	2023-01-23 04:48	cache	13.18	✅
numba	2023-01-23 04:48	cache	17.31	✅
numpy	2023-01-23 04:48	cache	12.43	✅
oop_intro	2023-01-23 04:49	cache	2.04	✅
pandas	2023-01-23 04:49	cache	19.5	✅
parallelization	2023-01-23 04:50	cache	54.99	✅
python_advanced_features	2023-01-23 04:51	cache	44.3	✅
python_by_example	2023-01-23 04:51	cache	10.82	✅
python_essentials	2023-01-23 04:51	cache	1.95	✅
python_oop	2023-01-23 04:51	cache	3.72	✅
scipy	2023-01-23 04:51	cache	23.97	✅
status	2023-01-23 04:47	cache	1.28	✅
troubleshooting	2023-01-23 04:47	cache	1.28	✅
writing_good_code	2023-01-23 04:51	cache	4.45	✅

These lectures are built on linux instances through github actions and amazon web services (aws) to enable access to a gpu. These lectures are built on a p3.2xlarge that has access to 8 vcpu's, a V100 NVIDIA Tesla GPU, and 61 Gb of memory.