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Note: this is not asking for a personal viewpoint on what is the better library, but rather what is the "safest" library or what is a good indication of a "safe" library.
I was looking for a Haskell library with AES256 encryption/decryption capabilities and found quite a few.
cryptocipher
cryptonite
AES
The problem is that most of these seem abandoned, except cryptonite who again seems like the least popular library (the one with the least amount of downloads).
I was wondering if using a library that seems outdated could be a problem (should I worry about possible security flaws, etc.) or if I should simply go with the one that seems most popular?
I'd definitely recommend cryptonite. It's a newer library consolidating a number of older libraries, and the ecosystem hasn't moved over yet.
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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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I am new to functional reactive programming and I would like to know how different packages compare in Haskell. They all seem to have slightly different approaches and I don't know enough to choose between them.
I also think that the available information for some of the packages is out of date. This previous Stack Overflow question recommends either netwire or reactive-banana but currently netwire won't install with stack because it depends on an out of date profunctors package.
So basically, for a beginner, how do the various FRP packages compare against each other? And which are best for GUI applications and which are best for simulation/game applications?
Thanks,
I found this link very helpful for comparing FRP libraries. It gives example code for a simple application written in each library.
https://github.com/gelisam/frp-zoo
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Is there any rationale why HapiJS endorses using 4-space indentations?
Source: http://hapijs.com/styleguide
Short answer: No better reason than anyone else - styleguides are typically only rules for project maintainers. They had to adopt some convention and that was the choice. As a user, you don't really need to care.
Long answer: Hapi is a great framework, built by the folks at Walmart. and specifically a person named Eran Hammer who was unhappy about some architectural choices made by Express, another server framework for Node. It is somewhat opinionated in general, it was effectively created in an environment of opinion, not to mention a large company (which means it desperately needed a convention). That said, you can safely use the Hapi API with any indentation you want, including tabs, though. Likewise, the Hapi internals could have been written the same way. Their specific choice likely comes down to established tools or conventions already in use at the company. Many different projects make different choices for a variety of reasons. In my experience, many large JavaScript applications go with 2 spaces and the Node.js core itself is written with 2. But there's nothing wrong with those that do otherwise.
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I would like to ask about the advantages of using Domain Specific Languages vs software libraries in software reuse research.
I have read some papers stating that using DSLs is a better approach than using software libraries for software reuse field but without mentioning many reasons.
One reason I read is that DSLs receive direct support from compiler while software libraries do not, I could not understand this issue also.
Regards
You should read James Neighbor's papers on Draco for an eye-opening view of "code" (generation knowledge) reuse and DSLs.
Jim is the guy who invented the term "domain analysis".
The fundamental lesson is that reuse of construction knowledge is more powerful than reuse of code libraries, yet easier to use for the domain expert.
Me? I just use the stuff.
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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.