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I want to make my R Shiny App multilingual, but I don't know, where to start from. Is there any libraries or Shiny widgets for switching the language in the Shiny App?
More generally, what are the best practices for internationalization in R? Is there any tutorials? I know, there is a gettext command, which comes from GNU gettext, but I'm not very handy with it. Should I read GNU gettext manual first (and what chapters will be enough for beginner)?
I was looking to do the same thing and found this. The creator explains how it works and there is a github repository if you want to use his code in your app.
It works great for me as it's similar to the Zend Framework implementation which I had already used in the past.
The projects I have found attempting to solve this issue:
https://github.com/Appsilon/shiny.i18n (28 stars, last activity 4 days ago, preparing for CRAN package publication)
https://github.com/chrislad/multilingualShinyApp (8 stars, last activity 4 years ago)
It seems shiny.i18n is the best bet at the moment. I added an issue requesting support for gettext https://github.com/Appsilon/shiny.i18n/issues/15 as per Translation of R script using gettext
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I wrote a simple R program and want to share it with my office. Most people in my office are not familiar with R and I imagine it could be kind of confusing for them to install R and all the required packages.
Is there an easy way I can share an R script that can take user inputs & share output that doesn't require R installation on the user's end? I'm thinking something like Shiny, but for desktop use.
Your users can run R in an R jupyter notebook that you have set up in advance on some server. Then it's not a "desktop app" per se but it's going to look like it is running in their local web browser like Firefox or Chrome etc. Sharing R code you wrote will work excellently this way.
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Does anyone know if an offline version of the latest PyQt4 and PyQt5 documentation is available somewhere on the Internet? I don't want to depend on whether I have a working Internet connection or not. I can of course grab it using wget or similar but I would prefer if I can do that the "normal" way (a PDF version would also be nice).
Note: Mny things are covered by the official Qt documentation (C++) however there are also things specific to Python. An example for such a treat is the fact that in C++ there are functions which have multiple overloaded versions while in Python such a thing is not possible. I find myself ever so often looking into the PyQt docs to see how this and that Qt thing looks like in Python.
The PyQt source releases contain the documentation in doc/html.
You can also use the Python builtin help() on a PyQt object - often that way you'll get more relevant information (like the exact Python signatures) compared to the documentation.
Qt comes with a dedicated program, called Qt Assistant, that can be used to browse the documentation off-line. I use it regularly. It's C++ only obviously.
I don't know where it is installed on your system but it may very well be in the same directory as the Qt Designer.
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I am planning to run Monte Carlo simulations in an R environment (Windows 7). However I need to use old legacy statistical packages that are no longer executable in Windows 7, although I am aware that there are emulation solutions (Like VMWare) available. In addition I need to integrate these packages in a seamless workflow so that simulated data from R functions is pushed on the old package, processed, and pulled back for further analysis in R again.
I am aware that there are open source workflow tools (such as KNIME) that can integrate different software packages, but my internet searches tend to be swamped with references to WorkFlow Management software business applications that are irrelevant to me.
Is KNIME Analytics a suitable solution given my legacy software problem, and if not what workflow tool would you suggest?
Kind regards,
Giulio Flore
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In some crucial projects I relelized that time is one of the biggest concern while developing a project, specially a web application.
Specifically about ASP.NET, does any Open Source tools exists for generating code for helping developers [like codesmith] to work smarter rather than work harder?
I think T4 templates is what you need.
Check this out: http://msdn.microsoft.com/en-us/library/bb126445.aspx
I'm not sure if your problem is that you want a code generator or something to help you generate automated tests to be run in different browsers. Since codesmith does .NET I'll assume you wanted automated tests for various browsers.
Check out selenium
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I've decided to rewrite most of my distributed server programs in Go to replace the existing c# based ones.
Can someone point me to a Go TCP libs or a Go general network programming lib.
Thanks
Edi: ... and how do i complile this code is visual stuido 2008? Thanks
Here's the official API docs for the net package.
Regarding how to compile: See the installation guide. As of yet there doesn't seem to be an obvious way to compile in VS:
The Go tool chain is written in C. To
build it, you need to have GCC, the
standard C libraries, the parser
generator Bison, and the text editor
ed installed.
So in order to develop on Windows, the easiest route would be to use cygwin.
Depending on the needs of your distributed software, you may also want to check out the rpc package which makes it quite easy to register an object's public methods and call them remotely.