20. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

about_py

2023-06-08 01:32

cache

4.88

✅

debugging

2023-06-08 01:32

cache

3.24

✅

functions

2023-06-08 01:32

cache

2.93

✅

getting_started

2023-06-08 01:32

cache

2.21

✅

intro

2023-06-08 01:32

cache

1.12

✅

jax_intro

2023-06-08 01:32

cache

1.63

❌

matplotlib

2023-06-08 01:33

cache

8.08

✅

need_for_speed

2023-06-08 01:33

cache

12.34

✅

numba

2023-06-08 01:33

cache

16.15

✅

numpy

2023-06-08 01:33

cache

11.82

✅

oop_intro

2023-06-08 01:33

cache

2.61

✅

pandas

2023-06-08 01:34

cache

19.69

✅

parallelization

2023-06-08 01:35

cache

50.87

✅

python_advanced_features

2023-06-08 01:35

cache

41.14

✅

python_by_example

2023-06-08 01:35

cache

10.6

✅

python_essentials

2023-06-08 01:35

cache

2.44

✅

python_oop

2023-06-08 01:35

cache

3.49

✅

scipy

2023-06-08 01:36

cache

21.15

✅

status

2023-06-08 01:32

cache

1.12

✅

troubleshooting

2023-06-08 01:32

cache

1.12

✅

writing_good_code

2023-06-08 01:36

cache

4.45

✅

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.