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I am looking forward to learn a language mainly for my electronic projects. My projects may include PC to MCU communications, TCP/IP (like catching new facebook comments and sending it to MCU) etc. I have seen a lot of similar projects using python and perl. So which one will be better and easier to learn as well as to implement?
At the risk of suggesting something "weird" -- you might want to take a look at Processing and its microcontroller counterpart Wiring. They are designed for exactly this sort of use case.
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Which one among the following NLP topics will be easier to work with?
Question answering
Paraphrase detection
Short text conversation
Author identification
The final one, Author identification. You don't need to have any understanding of the language you are dealing with, which the first three presuppose.
There is already a lot of literature on the topic; generally you identify features in texts, and map these onto a set of authors' known features. This can easily be done with cluster analysis or Machine Learning. So, it's not actually as NLP-heavy as the others.
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I have a legacy Ruby on Rails API project, I notice that the project uses both active_model_serializer and Jbuilder. There are app/serializers diretory for active_model_serializer, and app/view/api/ for Jbuilder.
I'm new to Ruby on Rails API. From what I have read from the internet it seems active_model_serializer and Jbuilder are both used to deal with JSON data, there's even an article arguing which one is better.
I don't know which one is better, but is it a good practice to use both?
There's no problem in using both, but it's definitely not a good practice. It can be confusing for new people coming to the project. I'd say it's ok to use both if you transition from one to the other (most often from Jbuilder to AMS), but it's good to eventually stick with one of them.
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No other game impressed me more than ADOM because of its almost endless ways you can interact with its world. To name a few: If you have waterproof blankets your items will not rust in rain, you can cut trees to build a bridge, dip weapons into potions, kick locked doors etc.
With such complexity of interactions each new feature may require refactoring, recompilation, then cause broken tests, bugs etc. This seems to be an interesting case of the Expression Problem.
The Question:
Can solution to Expression Problem be expressed in Agda or Haskell as a reusable library or a design pattern?
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I wonder why callback hell did not get some conceptual solution. Something like goroutines from Go, stackless python, eventlet, gevent, monkey patching or something like that. Is it possible to make it for javascript? Does anybody work on it? JavaScript is a great concise language but the callback hell is a major drawback.
because those are language features and Javascript doesn't have them.
I think there's talk about finally getting coroutines, but I don't know the details.
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I'm learning Haskell in order to gain knowledge of Functional programming to apply to Java 8. Is Haskell a marketable skill?
Haskell is used "in the real world," but in terms of "Am I likely to get a job using this?" it's on the very low end. Almost any other language you can likely name has more jobs that require it.
But in terms of learning, Haskell is a great language. It really helps you think about your programs differently. And having a good mind for application architecture is a very marketable skill.