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Aside from being written in haskell, python and ruby, what are the main differences between skylighting, pygments and Linguist?
Do they vary widely in the language support? Do they have different internal structures? To what extent can they be used interchangeably? Are there any automatic tools for comparing the effects of their application (possibly in the vein of babelmark for markdown)?
Is there a list of all the tools/organisations that these different tools are used? Pygments has a list of "who uses pygments", and it's clear that skylighting is used by pandoc and Linguist is used by GitHub, but are there other major tools that use these?
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I've been reading about wgpu-rs and that it uses Vulkan, Dx12, Metal etc if used to build native desktop applications. Given this could one expect comparable performance between wgpu-rs and using vulkan directly? I'm an amateur in the graphics programming space but have been working on a game in rust and the idea of being able to build to wasm once that is supported in wgpu-rs is very appealing.
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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I also think that the available information for some of the packages is out of date.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recommends either netwire or reactive-banana but currently netwire won't install with stack because it depends on an out of date profunctors package.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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Which features need to be present in a programming language such that it can express any sequential computation which a computer can excute today? And what if the language is Haskell in specific
Haskell is Turing complete.
My current beliefs have high weight on the outcome that any sound and complete description of "feature sets that guarantee Turing completeness" is either infinite or includes a non-terminating algorithm; so I believe it is not reasonable to expect an answer to your other question.
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On the wikipedia page only Haskell and Miranda are mentioned.
I am not sure about elm.
Some other languages make it especially easy to declare a function to be computed lazily.
Are there programming languages where you have a global switch, say for a module or script file to be evaluated lazily?
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What are applications where search techniques or more specifically planning techniques are used? I am most interested in examples in use.
I know that A* is used for path planning in Robotics, that planning is used in logistics (details would be great) but what other usages are there?
For Search in general Google, etc come to mind with their inverted indices. Again, where else is it used?
For planning examples, including logistics challenges, take a look at this list. Each use case comes with multiple datasets and a problem definition.