20. Execution Statistics¶
This table contains the latest execution statistics.
Document |
Modified |
Method |
Run Time (s) |
Status |
|---|---|---|---|---|
about_py |
2023-01-25 23:34 |
cache |
4.26 |
✅ |
debugging |
2023-01-25 23:35 |
cache |
2.85 |
✅ |
functions |
2023-01-25 23:35 |
cache |
3.2 |
✅ |
getting_started |
2023-01-25 23:35 |
cache |
3.19 |
✅ |
intro |
2023-01-25 23:35 |
cache |
1.39 |
✅ |
jax_intro |
2023-01-25 23:35 |
cache |
36.8 |
✅ |
matplotlib |
2023-01-25 23:35 |
cache |
7.48 |
✅ |
need_for_speed |
2023-01-25 23:35 |
cache |
16.82 |
✅ |
numba |
2023-01-25 23:35 |
cache |
18.02 |
✅ |
numpy |
2023-01-25 23:35 |
cache |
12.41 |
✅ |
oop_intro |
2023-01-25 23:35 |
cache |
2.17 |
✅ |
pandas |
2023-01-25 23:35 |
cache |
21.21 |
✅ |
parallelization |
2023-01-25 23:35 |
cache |
53.68 |
✅ |
python_advanced_features |
2023-01-25 23:35 |
cache |
46.15 |
✅ |
python_by_example |
2023-01-25 23:35 |
cache |
11.57 |
✅ |
python_essentials |
2023-01-25 23:35 |
cache |
2.35 |
✅ |
python_oop |
2023-01-25 23:35 |
cache |
4.06 |
✅ |
scipy |
2023-01-25 23:35 |
cache |
23.78 |
✅ |
status |
2023-01-25 23:35 |
cache |
1.39 |
✅ |
troubleshooting |
2023-01-25 23:35 |
cache |
1.39 |
✅ |
writing_good_code |
2023-01-25 23:35 |
cache |
4.76 |
✅ |
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.