20. Execution Statistics

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

about_py

2022-12-21 14:00

cache

3.76

debugging

2022-12-21 14:00

cache

3.11

functions

2022-12-21 14:00

cache

3.17

getting_started

2022-12-21 14:00

cache

3.14

intro

2022-12-21 14:00

cache

1.24

jax_intro

2022-12-21 14:00

cache

35.93

matplotlib

2022-12-21 14:00

cache

7.17

need_for_speed

2022-12-21 14:00

cache

11.23

numba

2022-12-21 14:00

cache

17.73

numpy

2022-12-21 14:00

cache

12.11

oop_intro

2022-12-21 14:00

cache

2.13

pandas

2022-12-21 14:00

cache

18.97

parallelization

2022-12-21 14:00

cache

58.64

python_advanced_features

2022-12-21 14:00

cache

54.14

python_by_example

2022-12-21 14:00

cache

10.53

python_essentials

2022-12-21 14:00

cache

2.27

python_oop

2022-12-21 14:00

cache

3.79

scipy

2022-12-21 14:00

cache

23.95

status

2022-12-21 14:00

cache

1.24

troubleshooting

2022-12-21 14:00

cache

1.24

writing_good_code

2022-12-21 14:00

cache

4.63

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.