20. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

about_py

2023-01-24 03:02

cache

7.21

✅

debugging

2023-01-24 03:02

cache

2.97

✅

functions

2023-01-24 03:02

cache

3.01

✅

getting_started

2023-01-24 03:02

cache

3.29

✅

intro

2023-01-24 03:02

cache

1.31

✅

jax_intro

2023-01-24 03:03

cache

34.52

✅

matplotlib

2023-01-24 03:03

cache

7.16

✅

need_for_speed

2023-01-24 03:03

cache

13.72

✅

numba

2023-01-24 03:03

cache

17.49

✅

numpy

2023-01-24 03:03

cache

12.16

✅

oop_intro

2023-01-24 03:03

cache

2.01

✅

pandas

2023-01-24 03:04

cache

28.63

✅

parallelization

2023-01-24 03:05

cache

55.22

✅

python_advanced_features

2023-01-24 03:06

cache

45.62

✅

python_by_example

2023-01-24 03:06

cache

10.64

✅

python_essentials

2023-01-24 03:06

cache

2.12

✅

python_oop

2023-01-24 03:06

cache

3.99

✅

scipy

2023-01-24 03:06

cache

24.55

✅

status

2023-01-24 03:02

cache

1.31

✅

troubleshooting

2023-01-24 03:02

cache

1.31

✅

writing_good_code

2023-01-24 03:06

cache

4.39

✅

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.