20. Execution Statistics

This table contains the latest execution statistics.

Document	Modified	Method	Run Time (s)	Status
about_py	2023-10-05 04:33	cache	5.43	✅
debugging	2023-10-05 04:33	cache	3.33	✅
functions	2023-10-05 04:33	cache	2.99	✅
getting_started	2023-10-05 04:33	cache	2.18	✅
intro	2023-10-05 04:33	cache	1.38	✅
jax_intro	2023-10-05 04:33	cache	1.22	✅
matplotlib	2023-10-05 04:33	cache	7.22	✅
need_for_speed	2023-10-05 04:34	cache	12.77	✅
numba	2023-10-05 04:34	cache	16.96	✅
numpy	2023-10-05 04:34	cache	13.08	✅
oop_intro	2023-10-05 04:34	cache	2.61	✅
pandas	2023-10-05 04:35	cache	37.14	✅
parallelization	2023-10-05 04:36	cache	47.13	✅
python_advanced_features	2023-10-05 04:36	cache	43.88	✅
python_by_example	2023-10-05 04:36	cache	10.27	✅
python_essentials	2023-10-05 04:37	cache	2.67	✅
python_oop	2023-10-05 04:37	cache	3.68	✅
scipy	2023-10-05 04:37	cache	22.23	✅
status	2023-10-05 04:33	cache	1.38	✅
troubleshooting	2023-10-05 04:33	cache	1.38	✅
writing_good_code	2023-10-05 04:37	cache	4.24	✅

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.