dmarx/make_for_datascience
View on GitHubDemonstration of how to use Gnu Make effectively in a robust data analytics pipeline
- Stars
- 3
- Forks
- 0
- Open beginner issues
- 0
- Indexed issues
- 14
- Dominant language
- HTML
- License
- MIT
- Last GitHub push
- Oct 20, 2017
- Latest indexed
- Sep 15, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
Difficulty 1/5 Under an hour Newbie friendliness 35/100
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
dmarx/make_for_datascience#27 · 2 comments ·
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
-
Difficulty 5/5 Over a week Newbie friendliness 20/100
-
Difficulty 5/5 Over a week Newbie friendliness 20/100
dmarx/make_for_datascience#23 · 2 comments ·
-
Difficulty 5/5 Over a week Newbie friendliness 15/100
-
enhancement
Difficulty 5/5 Over a week Newbie friendliness 20/100
-
enhancement
Difficulty 3/5 1-2 days Newbie friendliness 20/100
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 38/100
-
enhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
enhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
Add python to demo Openenhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
enhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
dmarx/make_for_datascience#1 · 2 comments ·