20. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

about_py

2023-03-19 23:18

cache

7.98

✅

debugging

2023-03-19 23:18

cache

2.85

✅

functions

2023-03-19 23:18

cache

3.13

✅

getting_started

2023-03-19 23:18

cache

3.33

✅

intro

2023-03-19 23:18

cache

1.21

✅

jax_intro

2023-03-19 23:19

cache

33.4

✅

matplotlib

2023-03-19 23:19

cache

7.4

✅

need_for_speed

2023-03-19 23:19

cache

13.31

✅

numba

2023-03-19 23:19

cache

17.98

✅

numpy

2023-03-19 23:20

cache

12.62

✅

oop_intro

2023-03-19 23:20

cache

2.03

✅

pandas

2023-03-19 23:20

cache

20.05

✅

parallelization

2023-03-19 23:21

cache

60.0

✅

python_advanced_features

2023-03-19 23:22

cache

46.6

✅

python_by_example

2023-03-19 23:22

cache

10.61

✅

python_essentials

2023-03-19 23:22

cache

2.19

✅

python_oop

2023-03-19 23:22

cache

4.12

✅

scipy

2023-03-19 23:23

cache

24.48

✅

status

2023-03-19 23:18

cache

1.21

✅

troubleshooting

2023-03-19 23:18

cache

1.21

✅

writing_good_code

2023-03-19 23:23

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.