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.