20. Execution Statistics

This table contains the latest execution statistics.

Document	Modified	Method	Run Time (s)	Status
about_py	2023-05-18 10:27	cache	6.93	✅
debugging	2023-05-18 10:28	cache	3.68	✅
functions	2023-05-18 10:28	cache	3.24	✅
getting_started	2023-05-18 10:28	cache	2.43	✅
intro	2023-05-18 10:28	cache	1.4	✅
jax_intro	2023-05-18 10:28	cache	1.4	✅
matplotlib	2023-05-18 10:28	cache	8.03	✅
need_for_speed	2023-05-18 10:28	cache	13.85	✅
numba	2023-05-18 10:28	cache	18.02	✅
numpy	2023-05-18 10:29	cache	12.99	✅
oop_intro	2023-05-18 10:29	cache	2.51	✅
pandas	2023-05-18 10:29	cache	22.18	✅
parallelization	2023-05-18 10:30	cache	56.94	✅
python_advanced_features	2023-05-18 10:31	cache	44.11	✅
python_by_example	2023-05-18 10:31	cache	11.07	✅
python_essentials	2023-05-18 10:31	cache	2.56	✅
python_oop	2023-05-18 10:31	cache	3.66	✅
scipy	2023-05-18 10:31	cache	20.32	✅
status	2023-05-18 10:28	cache	1.4	✅
troubleshooting	2023-05-18 10:28	cache	1.4	✅
writing_good_code	2023-05-18 10:31	cache	4.7	✅

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.