19. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

about_py

2023-05-01 04:22

cache

8.33

✅

debugging

2023-05-01 04:22

cache

2.96

✅

functions

2023-05-01 04:22

cache

2.82

✅

getting_started

2023-05-01 04:22

cache

2.93

✅

intro

2023-05-01 04:22

cache

1.23

✅

matplotlib

2023-05-01 04:22

cache

5.28

✅

need_for_speed

2023-05-01 04:22

cache

11.02

✅

numba

2023-05-01 04:22

cache

15.02

✅

numpy

2023-05-01 04:22

cache

2.61

✅

oop_intro

2023-05-01 04:22

cache

1.74

✅

pandas

2023-05-01 04:23

cache

24.02

✅

parallelization

2023-05-01 04:24

cache

43.03

✅

python_advanced_features

2023-05-01 04:24

cache

36.55

✅

python_by_example

2023-05-01 04:24

cache

10.02

✅

python_essentials

2023-05-01 04:24

cache

2.26

✅

python_oop

2023-05-01 04:24

cache

3.44

✅

scipy

2023-05-01 04:25

cache

21.67

✅

status

2023-05-01 04:22

cache

1.23

✅

troubleshooting

2023-05-01 04:22

cache

1.23

✅

writing_good_code

2023-05-01 04:25

cache

3.79

✅

These lectures are built on linux instances through github actions so are executed using the following hardware specifications