Loving the lyrics :D
42 karma · joined June 6, 2016
Loving the lyrics :D
The remaining piece of the puzzle is that Lihaoyi's libraries and general approach is exactly what a joe average coder would want. There is minimal use of advanced features, it is all quite straightforward and simple.
There are other productive contributors in Scala, but among them I would rate Lihaoyi to be among the least "magical". The fact that he is both practical and productive is what makes him unique. I guess my point was that there is a lot to be learned from that. For some nice examples of what it looks like in practice see his series of blogposts titled "how to work with x in scala".
Lihaoyi is one of the most prolific coder's, not just in Scala, but in any language. He looks like he is much to humble and modest to claim so himself, so I will do it for him.
Here is a by no means exhaustive list of projects
- A buildtool
- A bash replacement that speaks Scala
- A test framework
- A parsing library
- Ports of several python libraries in Scala
- Several libraries in the scala.js ecosystem
For the full list see https://github.com/lihaoyi?tab=repositories
Discussions on Scala on HN tends to contain a somewhat large volume of comments that explicitly or implicitly tries to communicate that Scala is a language that is much to complicated to really be productive in. Lihaoyi is a rather clear example of why this is not true. If this random internet citizens endorsement doesn't convince you maybe the book will :)
Yes and no. Neural networks have a lot of nice properties like being easier to grasp, easier to parrallelize(?) and have better tools which i guess is because neural networks are applicable to more problems than SVM's because they are extensible.( see https://en.wikipedia.org/wiki/Recurrent_neural_network for example).
Either way SVM's still do what they do very nicely and in the field of "Human Activity Recognition" where i did my thesis neural networks are practically never used but SVM's pop up from time to time.