20. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

about_py

2023-04-14 07:20

cache

6.87

✅

debugging

2023-04-14 07:20

cache

3.65

✅

functions

2023-04-14 07:20

cache

3.15

✅

getting_started

2023-04-14 07:20

cache

2.34

✅

intro

2023-04-14 07:20

cache

1.27

✅

jax_intro

2023-04-14 07:21

cache

37.57

✅

matplotlib

2023-04-14 07:21

cache

8.16

✅

need_for_speed

2023-04-14 07:21

cache

15.23

✅

numba

2023-04-14 07:21

cache

17.69

✅

numpy

2023-04-14 07:21

cache

12.68

✅

oop_intro

2023-04-14 07:22

cache

2.51

✅

pandas

2023-04-14 07:22

cache

21.99

✅

parallelization

2023-04-14 07:23

cache

57.83

✅

python_advanced_features

2023-04-14 07:24

cache

45.49

✅

python_by_example

2023-04-14 07:24

cache

10.16

✅

python_essentials

2023-04-14 07:24

cache

2.47

✅

python_oop

2023-04-14 07:24

cache

3.8

✅

scipy

2023-04-14 07:24

cache

20.79

✅

status

2023-04-14 07:20

cache

1.27

✅

troubleshooting

2023-04-14 07:20

cache

1.27

✅

writing_good_code

2023-04-14 07:24

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.