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I would like to find a library for parsing and generating text in common lisp. I would like it to be maintained and documented and preferably with a community that could answer questions.
In the past I have used for the same job ANTLR/StringTemplate in Java and Boost.Spirit in C++. Both projects are well documented in my opinion. From what I am reading, Parsec for Haskell would also meet my requirements. But I have not found something similar for LISP. Perhaps lispers parse texts using their own hand-made parsers?
I am aware of this question, but the so-called documentation on smug is a technical report on monadic parsing, with examples in Haskell. The documentation of LispBuilder looks rather short also. Most projects in CLiki seem abandoned.
Which library would you recommend? The grammar I need to parse is not very complicated.
You might have a look at
Cl-yacc
Esrap
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I am not able to find any definitive answer to what problem Julia solves compared to the two languages, I was told are most commonly used in working with data (data science), R and Python.
I am not asking for any opinions. Please support replies with factual information (sad I need to add this but it seems some people think this topic is opinion based).
Could anyone explain this?
The Julia Programming Language solves the same problems as R and Python. However, it can solve them extremely faster than those mentioned above, as it runs over C code and uses a JIT compiler. See the Julia Benchmark. This and other advantages that can be found at the language site, it's Twitter profiles: Julia Computing and Julia Language.
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The question is in the Title. Basically I'm looking for an alternative to R.
I've been using R a bit, there are some really good stuff about it (especially data.frame plyr and ggplot), however I really love Haskell and type inference, so I was wondering if using Haskell to do "simple" statistic analysis would be a good choice.
My basic needs are :
read/write CSV
import SQL table
do some basic 'mapReduce' on the data. Which where R is great but I assume Haskell should be equally good.
However my experience with Haskell is everything is fine until you process realworld data. You always encounter performance issue (and soonish) because even though in theory you should write functional code and don't worry about what's the computer is doing, if you don't and don't use the appropriate library and are not an Haskell expert, stuff are damned slow.
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Syntactically, at least, SQL is pretty far off. Thanks!
Dataphor's D4 is said to be pretty close (sole major error being the introduction of a null-like construct that the customers forced upon the developers, IIRC).
The projects listed on The Third Manifesto's project page ( http://www.dcs.warwick.ac.uk/~hugh/TTM/Projects.html ) should all be expected to abide even more closely.
There are the two syntactically very different languages: Relational Algebra and Relational Calculus, and SQL is a mixture of both. There are plenty of verbatim Relational Algebra implementations, so the matter obviously is not how "faithful" the implementation is.
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My software is a video-audio converter and video cutter. I have used Qt(compiled from source) and ffmpeg (compiled from source). I have to prepare System Usage Specification outline and Specify Usage patterns of the system and indicate it using Run charts / Histograms. I am told to use Winrunner for this purpose. I don't know exactly what to do. Please help.
I never heard about 'System Usage Specification', this must be a terminology specific to your company.
A wild guess would be that it's something close to the Use Case diagram of UML, to define what the users can do and which action they have to perform to lead them to the expected result.
Sounds like a uggly word for "handbook" or "usage guide" from the pov of a end-user (though I never heared of that specific term)
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today I was looking for a free collaborative code editor for Mac OS X, I don't really need it but I find the idea pretty charming. So I want to know you opinion about that: is there someone in real world who is using a collaborative code editor and gets some benefits out of it?
We use it over the Internet when discussing code via Chat/VoIP. Something along:
A: "If we change this to be an Integer the function gets much simpler" (Edit)
B: "Niftiy, but then we have to change it here, too" (Edit)
A: ...
If you're pairs programming it is very useful. The approach can be discussed and everyone can drive when they have ideas. I can't say I've had the privilege of using this at work.
I've found it fairly useful when putting together packing/todo/etc lists with my wife while at work. We use google docs, which isn't quite realtime, but it is definitely better than emailing back and forth throughout the day.