8 (octo!) GitHub Tips
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I’m spending quite a lot of my working time on GitHub, so have taken some habits. Maybe some of them can be useful to you!
1: How to get started
I’ve never actually taught git and GitHub, but I like sharing these useful links:
-
[Happy Git and GitHub for the useR] by Jenny Bryan, the STAT 545 TAs, Jim Hester. It includes a big picture section “Why Git? Why GitHub?”.
-
Reflections on 4 months of GitHub: my advice to beginners by Suzan Baert. It’s pragmatic and encouraging.
-
Excuse me, do you have a moment to talk about version control? by Jenny Bryan.
2: Secure your account
Please use a password manager with some sort of cloud backup.
Enable two factor-authentication for your GitHub account. It should not take much time. Make sure you store the recovery keys into your password manager. Also make sure your two factor-authentication app, if that’s an app, has some sort of cloud backup.
If you interact with GitHub programmatically, say with the usethis package, refer to
-
Managing Git(Hub) Credentials in usethis docs;
-
Managing GitHub credentials from R, difficulty level linux by Danielle Navarro (if you use Linux, that is!).
3: Refine GitHub interface with… Refined GitHub
Refined GitHub is a browser extension that adds nice features such as the default ordering of issues from most recently udpated to least recently updated. It’s quite neat.
4: Make your profile informative
Try to fill your GitHub profile information (and to keep it up-to-date).
Furthermore,
-
Pin your most important repositories. They do not have to be your repositories, actually, they only need to be repositories you contributed to.
-
Make public the organization memberships you want to show.
-
Add a profile README (yes, I still have not done this myself).
5: Handle PR states and suggestions with available features
You can make draft pull requests to indicate they are not ready yet. You can revert a pull request to the draft state. I find this most useful.
In the first comment of a pull request, if you add a line Fix #42
(or some other recognized keyzord), merging the PR will close issue 42. From the issue 42 itself, one will be able to see the PR is “linked” to it.
When reviewing a pull request, in comments you can make actual change suggestions, “commit suggestions” that the receiver can accept with a click. Using this instead of writing something à la tipo -> typo
is quite handy. When you are on the receiving end, to incorporate the feedback you can either accept each suggestion individually or batch-accept them, but only from the files tab of the PR, not the main tab.
6: Custom watch repositories
Watching repositories can be very useful: a favorite package of yours, an important dependency of a project of yours, Hacker News Daily Top 10, etc.
When you watch a repository, you get notified of all issues, PRs, discussions, and also see all commits in your timeline. That last part might be a bit too much. Well, you can customize what to watch by configuring your watch settings for an individual repository. I tend to subscribe to all issues, PRs and discussions, which I then tackle from my notifications inbox, one repository at a time.
7: Add your GitHub timeline to your RSS feed reader
At the very bottom of your GitHub timeline there is a link to your RSS feed, “Subscribe to your news feed” (it has a token in it so do not publicize it!). I have added mine to Feedly. Even if GitHub has recently improved the timeline interface, I like it to be grouped with other tech RSS feeds I subscribe to. That might change, though.
8: Subscribe to GitHub blog
I’ve also added GitHub blog to Feedly to be aware of new features in a less random way than on Twitter (I’m actively reducing my dependency on Twitter for crucial information).
Conclusion
In this post I have shared eight tips based on my GitHub usage. Thanks to those who taught me some of these! Do you have some advice for GitHub users?
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.