MRmratsim·Jul 2, 2020
> Syntax wise Nim it is a step back. It's hard to read and understand while any C/C++ dev will have next to no effort reading through D code. And of course while D is C ABI compliant it interoperates with C++ well too.
On the other hand, people coming from Python, Ruby, Pascal, Ada will appreciate the minimal amount of sigils.
> I seriously doubt that Nim or any other language in this regard has better metaprogramming than D.
Can you write an Embedded DSL + compiler running at compile-time in D
- https://github.com/numforge/laser/tree/master/laser/lux_comp...
Can you write a cryptographic library with hex conversion to big integer and modular arithmetic running at compile-time in D?
- https://github.com/mratsim/constantine/blob/master/constanti...
Can you generate a state machine that lowers down to optimized computed gotos with no dynami
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c allocation suitable for multithreading runtimes and embedded devices and able to display the actual graph at compiletime?
- https://github.com/mratsim/Synthesis
Can you describe x86 opcodes in a declarative way for a JIT assembler and do all the rex/modrm/sib computation at compile-time?
- https://github.com/mratsim/photon-jit/blob/master/photon_jit...
And the same thing for an emulator?
- https://github.com/mratsim/glyph/blob/master/glyph/snes/opco...
Can you implement async as a library?
Can you emulate classes with ADTs to solve the expression problem, avoid cache misses and multithreading problem due to OOP and the double indirection due to the visitor pattern?
- https://github.com/mratsim/trace-of-radiance/blob/master/tra...
> Nim might have a speed overhead in certain tasks but that depends on a benchmark. Besides, does Nim have anything similar to NumPy which is actually faster? D does.
It does:
- https://github.com/mratsim/Arraymancer
With CPU, OpenCL and Cuda backends (in differing state of maturity)
and it's being used for data analysis for example ancestry prediction:
- http://home.chpc.utah.edu/~u6000771/somalier-ancestry.html
You can even run a neural network and see its training live:
- https://github.com/Vindaar/NeuralNetworkLiveDemo
AFAIK D doesn't have any plotting library while Nim has plot.ly integration and a ggplot2 port in pure Nim:
- https://github.com/brentp/nim-plotly
- https://github.com/Vindaar/ggplotnim
And lastly nim can easily call Python:
- https://github.com/yglukhov/nimpy
or be called from Python:
- https://github.com/Pebaz/nimporter