avarsh
Joined 10 years ago
Karma
9
Submissions
8
Member since
Nov 21
Recent submissions
Comment · 8 years ago
Comment · 8 years ago
We use Crucible [1] for reviews and Jira [2] for task management. Each review links to a Jira task (or handful of related Jira tasks). On each review, we ideally:
- Add 3-4 people as reviewers
- Reviewers ask questions, make suggestions
- Author follows up to these questions (online or offline), and if they make code changes they link to the diff in a comment
- Close reviews only if 2+ people have finished reviewing
- It's okay to close reviews that not everyone has finished reviewing
Comment · 8 years ago
I made a similar site last August. http://www.hearnow.io/
You can pick a location on a map and it will generate a playlist for pretty much any city. I haven't done much work on it since then, but had a decent response when I posted it to Reddit. I've been considering open sourcing it, but not sure if there is interest.
My approach:
- Use SeatGeek's API to find venues/artists near the user
- Query Spotify's search API for artists with these names to get artist IDs (which you need to do other interesting things with Spotify's API)
- Filter results from Spotify search queries with fuzzy matching between artist names and results
- Use Spotify's API to get the top 5-10 most popular tracks for each artist, and randomly select ~30 to add to a playlist
Spotify's search API cannot be queried in batch which is a pretty frustrating bottleneck. I mainly solved this by caching artist name / ID pairs, but this would only really be effective if I got a lot of traffic (I don't).
Also, SeatGeek's API was a lot more friendly than Songkick, which I considered using. But SeatGeek didn't seem to have data for many venues overseas, so I had some users outside the U.S. that were disappointed that their queries would usually fail because the app couldn't find enough tracks.
Comment · 9 years ago
I took a PL/Compilers course based on COOL with Wes Weimer at UVA. We built an interpreter and compiler for COOL using its manual (i.e. a document with a verbal/maths spec for the language) and virtually no skeleton code. It was the hardest class in the department and I consider it to be the most valuable class I took as an undergrad. Before that class I didn't really understand what happened when I 'hit go' on my programs. Weimer is at UMich now but still publishes course materials online: https://web.eecs.umich.edu/~weimerw/
Comment · 9 years ago
Thanks! :)
Comment · 9 years ago
You can set the skill level. As a complete chess novice, I can do okay at very low difficulty. A level or two above the minimum and it completely wrecks me though.
For anyone interested in playing with it yourself, you can use python-chess (https://pypi.python.org/pypi/python-chess) to set up / play against the engine (or make engines play against each other) without having to directly use the UCI commands.
edit: It looks like there are quite a few other front-ends that will work with Stockfish. Fritz and PyChess look popular. I just used python-chess for a project a while ago.
Not to say that they don’t do some such screening, but I thought I’d add another data point.