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| I'm doing it again. My best rank so far is 149 on day 3. Here are my answers so far: &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/ec6640c3-65c5-45f0-8ef2-6087738893bb |
| *MODERATOR NOTE: event details are available here:* https://adventofcode.com/ ---------- &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/55356214-1796-4fbe-af9f-4da3e052b5ba |
| That is a nice solution. And it would have been the required approach if they pushed the input size much beyond 200 numbers. |
| I overwrote the cube files from the first clip. I still have them from the second clip, but they are about 500 MB in total. I've attached an example of a random one (I had to change extension to .txt for the upload to work) and the template I used... |
| The video is [here][1]. ![Sample frame][2] A few weeks ago, I played my second round of golf. I wanted to make an animation of the round afterwards, so I used my phone to copy my GPS coordinates into an email prior to every shot. The first few... |
| Hm. I did have to use `"ReadDTD" -> False` when getting XML from the NCBI API, but not the KEGG API. Like in the following to get a list of all of the NCBI databases. Import["https://eutils.ncbi.nlm.nih.gov/entrez/eutils/einfo.fcgi", \ ... |
| Cool! I've completed a programming test for a job using WL before. Regarding the part where you felt there was a more elegant way, I would suggest using `JoinAcross`. So if `posts` and `users` are your imported datasets then you can do: ... |
| *Click on the image to zoom. Then click your browser back button to return to reading the post.* ---------- [![Human][7]][7] - Pie chart size is related to total sequence count - Green is normal - Blue is EST - Yellow is GSS *See... |
| Using Dynamic[Refresh[...,TrackedSymbols:>{...}]] Seems to work better than just Dynamic[...,TrackedSymbols:>{...}]. It seems the cloud restricts the updating of Refresh more than Dynamic, so the CloudExpressions don't cause the server to get into an... |
| Position and Extract allow a more direct approach than SparseArray while keeping the logic similar. Shorter code plus a 2-3x speedup on the 5D case makes a good trade I think. ArrayCrop[a_, b_] := Extract[a, Span @@@ MinMax /@ ... |