21. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

about_py

2023-07-11 07:02

cache

7.26

✅

debugging

2023-07-11 07:02

cache

3.69

✅

functions

2023-07-11 07:02

cache

3.22

✅

getting_started

2023-07-11 07:02

cache

2.34

✅

intro

2023-07-11 07:03

cache

1.41

✅

jax_intro

2023-07-11 07:03

cache

1.27

✅

matplotlib

2023-07-11 07:03

cache

8.08

✅

need_for_speed

2023-07-11 07:03

cache

14.05

✅

numba

2023-07-11 07:03

cache

18.46

✅

numpy

2023-07-11 07:03

cache

12.83

✅

oop_intro

2023-07-11 07:03

cache

2.63

✅

pandas

2023-07-11 07:04

cache

23.24

✅

parallelization

2023-07-11 07:05

cache

58.3

✅

python_advanced_features

2023-07-11 07:06

cache

45.58

✅

python_by_example

2023-07-11 07:06

cache

10.2

✅

python_essentials

2023-07-11 07:06

cache

2.7

✅

python_oop

2023-07-11 07:06

cache

3.97

✅

scipy

2023-07-11 07:06

cache

20.86

✅

status

2023-07-11 07:03

cache

1.41

✅

sympy

2023-08-01 04:01

cache

15.55

✅

troubleshooting

2023-07-11 07:03

cache

1.41

✅

writing_good_code

2023-07-11 07:06

cache

5.37

✅

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.