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.