> 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 whil

> 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_compiler 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/constantine/config/curves_declaration.nim#L51-L110 https://github.com/mratsim/constantine/blob/master/constanti... Can you generate a state machine that lowers down to optimized computed gotos with no dynamic allocation suitable for multithreading runtimes and embedded devices and able to display the actual graph at compiletime? - https://github.com/mratsim/Synthesis 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/x86_64/x86_64_ops.nim#L24 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/opcodes.nim#L16-L127 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/trace_of_radiance/support/emulate_classes_with_ADTs.nim 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 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 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 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/brentp/nim-plotly - https://github.com/Vindaar/ggplotnim https://github.com/Vindaar/ggplotnim And lastly nim can easily call Python: - https://github.com/yglukhov/nimpy https://github.com/yglukhov/nimpy or be called from Python: - https://github.com/Pebaz/nimporter https://github.com/Pebaz/nimporter