andrewgrowles

6 ms·

1. 1.▲
   by andrewgrowles 8y ago

   Read this the other day. I don’t see why Netflix needed to build nteract. JupyterLab has great extensibility (albeit very under-documented).
2. 2.▲
   by andrewgrowles 9y ago

   This is funny. My senior design project is very similar. We have a Steam VR app, built in Unity3D, where we can search/load 3D models at runtime from a backend web service. I've written distributed web crawlers (docker, headless c
3. 3.▲
   by andrewgrowles 9y ago

   BigQuery would probably be the easiest, low maintenance approach. Normally I would leverage the Hadoop ecosystem for this type of ad-tech/analytics problem, but I am not 100% certain of your use case, budget, etc. Providing clients rea
4. 4.▲
   by andrewgrowles 9y ago

   This is not going to perform well with this amount of data. HTTP Response times for queries are likely to timeout. Needs a job-based queue.
5. 5.▲
   by andrewgrowles 9y ago

   I'd look for a library and not write one from scratch. Lucene [1] and OpenFST [2] are great implementations. I haven't used C#, so I don't know if bindings exist or not. Also you may find this talk useful [3] (Particularly sl
6. 6.▲
   by andrewgrowles 9y ago

   A FST seems like a good fit for this problem. I believe it will be much more compact than the Aho-Corasick algorithm trie structure. Depends on the size of the dictionary.