Setup autodeploy to pypi via Travis
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
Research direction
Start with the linked Travis documentation for PyPI deployment and inspect the repository's existing Travis configuration. Set up automated PyPI deployment through Travis, then verify that the configuration supports the project's release workflow and does not expose credentials.
Written by the indexing model from the issue text.
Description
Travis docs explain how this can be done.
- Dominant language
- Python
- Stars
- 183
- Forks
- 109
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from Yelp/yelp-python
-
Difficulty 3/5 1-2 days Newbie friendliness 25/100
Yelp/yelp-python#79 · 3 comments · 1 reaction ·
-
Difficulty 3/5 1-2 days Newbie friendliness 35/100
Yelp/yelp-python#76 · 1 reaction ·
-
Difficulty 3/5 1-2 days Newbie friendliness 35/100
Yelp/yelp-python#75 ·
-
Difficulty 3/5 1-2 days Newbie friendliness 45/100
Yelp/yelp-python#74 ·
-
Difficulty 3/5 1-2 days Newbie friendliness 35/100
Yelp/yelp-python#73 ·
All issues in Yelp/yelp-python
Similar issues
-
area:space-accuracy good first issue track:data
Difficulty 2/5 1-3 hours Newbie friendliness 85/100
Sara-Managed-Projects/space-radar#904 ·
Maintainers usually reply within 1 day